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Books

Book Series | Collections | Analytics | Aggregation | Python | Analytics | Data Management | Analytics | Internet of Things | Analytics | Internet of Things | Decision Making | Analytics | Semantic Analytics | Analytics | Internet of Things | Statistics | Analytics | Semantic Analytics | R | .Net | Python | Scala | Java | Statistics | Aggregation | Decision Making | Mathematics | Visualization | Miscellaneous | Data Management | 18124 | Data Management | Internet of Things | BI
|Books| = 849

Book Series

“Data and Analytics Series”
Addison-Wesley

Publisher
“R – Programming”
O’Reilly Media

Publisher
“Statistics”
Springer

Publisher
“The R Series”
Chapman & Hall/CRC

Publisher

Collections

“Amazon Best Sellers in AI & Machine Learning”


Publisher
“Amazon Best Sellers in Data Mining”


Publisher
“Data Science Books (datascience@berkeley)”


Publisher
“Dataviz Books”
(Civil Statistician )

Publisher
“Library of Peter Norvig”


Publisher
“Must Read Books in Analytics / Data Science”
Infographic

Publisher
“R-Project: Books related to R”


Publisher

Analytics

“A / B Testing”
The Most Powerful Way to Turn Clicks Into Customers

Publisher / Amazon
2013
“Reverse Hypothesis Machine Learning”
A Practitioner’s Perspective

Publisher / Amazon
2017
“Time-Series Prediction and Applications”
A Machine Intelligence Approach

Publisher / Amazon
2017
“Self-Learning Optimal Control of Nonlinear Systems”
Adaptive Dynamic Programming Approach

Publisher / Amazon
2017

Aggregation

“Aggregated Search”


Publisher / Amazon
2017

Python

“Python for Graph and Network Analysis”


Publisher / Amazon
2017

Analytics

“Outlier Ensembles”
An Introduction

Publisher / Amazon
2017
“Outlier Analysis”


Publisher / Amazon
2017

Data Management

“Cloud Service Benchmarking”
Measuring Quality of Cloud Services from a Client Perspective

Publisher / Amazon
2017

Analytics

“Breakdown in Traffic Networks”
Fundamentals of Transportation Science

Publisher / Amazon
2017

Internet of Things

“Resource Management for Internet of Things”


Publisher / Amazon
2017

Analytics

“Operational Modal Analysis”
Modeling, Bayesian Inference, Uncertainty Laws

Publisher / Amazon
2017

Internet of Things

“IoT Solutions in Microsoft’s Azure IoT Suite”
Data Acquisition and Analysis in the Real World

Publisher / Amazon
2017

Decision Making

“The Application of Fuzzy Logic for Managerial Decision Making Processes”
Latest Research and Case Studies

Publisher / Amazon
2017

Analytics

“From Basic Survival Analytic Theory to a Non-Standard Application”


Publisher / Amazon
2017
“Reasoning about Uncertainty”


Publisher / Amazon
2017

Semantic Analytics

“Sensitivity Analysis”
An Introduction for the Management Scientist

Publisher / Amazon
2017

Analytics

“Spatial Interaction Models”
Facility Location Using Game Theory

Publisher / Amazon
2017
“Supplier Selection”
An MCDA-Based Approach

Publisher / Amazon
2017

Internet of Things

“Smart Grid using Big Data Analytics”
A Random Matrix Theory Approach

Publisher / Amazon
2017

Statistics

“Introduction to the Practice of Statistics”


Publisher / Amazon
2017

Analytics

“Encyclopedia of Machine Learning and Data Mining”


Publisher / Amazon
2017
“Data Science For Dummies”


Publisher / Amazon
2017
“A Distributed Linear Programming Models in a Smart Grid”


Publisher / Amazon
2017
“A First Course in Machine Learning”
Second Edition

Publisher / Amazon
2016
“A Primer on Process Mining”
Practical Skills with Python and Graphviz

Publisher / Amazon
2017
“A User’s Guide to Business Analytics”


Publisher / Amazon
2016
“A User’s Guide to Network Analysis in R”


Publisher / Amazon
2015
“Adaptation and Hybridization in Computational Intelligence”
(Adaptation, Learning, and Optimization)

Publisher / Amazon
2015
“Adaptive Regression for Modeling Nonlinear Relationships”


Publisher / Amazon
2016
“Adaptive Stochastic Optimization Techniques with Applications”


Publisher / Amazon
2015
“Advanced Analytics with Spark”


Publisher / Amazon
2015
“Advanced Business Analytics”
Essentials for Developing a Competitive Advantage

Publisher / Amazon
2016
“Advanced Customer Analytics”
Targeting, Valuing, Segmenting and Loyalty Techniques

Publisher / Amazon
2016
“Advanced Planning and Scheduling in Manufacturing and Supply Chains”


Publisher / Amazon
2016
“Advanced R”
Data Programming and the Cloud

Publisher / Amazon
2016
“Advanced Statistical Methods in Data Science”


Publisher / Amazon
2016
“Advances in Chaos Theory and Intelligent Control”


Publisher / Amazon
2016
“Advances in Neural Networks”
Computational Intelligence for ICT

Publisher / Amazon
2016
“Algorithm Engineering”
Selected Results and Surveys

Publisher / Amazon
2016
“Algorithmische Graphentheorie”


Publisher / Amazon
2015
“Algorithms for Data Science”


Publisher / Amazon
2016
“Algorithms for Next-Generation Sequencing Data”
Techniques, Approaches, and Applications

Publisher / Amazon
2017
“An Economic Interpretation of Linear Programming”


Publisher / Amazon
2015
“An Introduction to Fuzzy Linear Programming Problems”
Theory, Methods and Applications

Publisher / Amazon
2016
“An Introduction to Machine Learning”


Publisher / Amazon
2015
“An Introduction to Modeling Neuronal Dynamics”


Publisher / Amazon
2017
“An Introduction to Statistical Learning”
with Applications in R

Publisher / Amazon
2013
“An Introduction to Statistics with Python”
With Applications in the Life Sciences

Publisher / Amazon
2016
“Analyse des Anbieterwechsels mit Hidden-Markov-Modellen”
Empirische Untersuchung im Retail Banking

Publisher / Amazon
2015
“Analysis and Design of Markov Jump Systems with Complex Transition Probabilities”


Publisher / Amazon
2016
“Analysis of Large and Complex Data”
Studies in Classification, Data Analysis, and Knowledge Organization

Publisher / Amazon
2016
“Analytical Methods for Dynamic Modelers”


Publisher / Amazon
2015
“Analytics for Insurance”
The Real Business of Big Data

Publisher / Amazon
2016
“Analytics for Smart Energy Management”
Tools and Applications for Sustainable Manufacturing

Publisher / Amazon
2016
“Analytics for the Internet of Things”
Application of Analytics to IoT devices

Publisher / Amazon
2016
“Analytics in a Big Data World”
Essential Guide to Data Science and its Applications

Publisher / Amazon
2014
“Analytics in Smart Tourism Design”
Concepts and Methods

Publisher / Amazon
2016
“Analyzing Time Interval Data”
Introducing an Information System for Time Interval Data Analysis

Publisher / Amazon
2016
“Angewandte Zeitreihenanalyse mit R”


Publisher / Amazon
2012
“Applications of Soft Computing in Time Series Forecasting”
Simulation and Modeling Techniques

Publisher / Amazon
2016
“Applied Multivariate Statistical Analysis”


Publisher / Amazon
2015
“Applied Predictive Analytics”
Principles and Techniques for the Professional Data Analyst

Publisher / Amazon
2014
“Applied Predictive Modeling”
Fundamental Concepts and Algorithms

Publisher / Amazon
2013
“Applied Surrogate Endpoint Evaluation Methods with SAS and R”


Publisher / Amazon
2016
“Applied Survival Analysis Using R”


Publisher / Amazon
2016
“Applied Time Series Analysis with R”


Publisher / Amazon
2016
“Artificial Intelligence and Exponential Technologies”
Business Models Evolution and New Investment Opportunities

Publisher / Amazon
2017
“Artificial Intelligence for .NET”
Speech, Language, and Search: Building Smart Applications with Microsoft Cognitive Services APIs

Publisher / Amazon
2017
“Artificial Intelligence in Financial Markets”
Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics

Publisher / Amazon
2016
“Artificial Intelligence Marketing and Predicting Consumer Choice”
An Overview of Tools and Techniques

Publisher / Amazon
“Artificial Intelligence Tools”
Decision Support Systems in Condition Monitoring and Diagnosis

Publisher / Amazon
2015
“Artificial Neural Network Modelling”


Publisher / Amazon
2016
“Artificial Neural Networks”
A Practical Course

Publisher / Amazon
2016
“Asymptotic Change-Point Analysis of the Dependencies in Time Series”


Publisher / Amazon
2016
“Automated Trading with R”
Quantitative Research and Platform Development

Publisher / Amazon
2016
“Automatic Design of Decision-Tree Induction Algorithms”


Publisher / Amazon
2015
“Basic Experimental Strategies and Data Analysis for Science and Engineering”


Publisher / Amazon
2016
“Bayesian Data Analysis”


Publisher / Amazon
2013
“Bayesian Nonparametric Data Analysis”


Publisher / Amazon
2015
“Bayesian Reinforcement Learning”
A Survey

Publisher
2015
“Beautiful Data”
The Stories Behind Elegant Data Solutions

Publisher / Amazon
2009
“Beginning Artificial Intelligence with the Raspberry Pi”


Publisher / Amazon
2017
“Beginning Data Science in R”
Data Analysis, Visualization, and Modelling for the Data Scientist

Publisher / Amazon
2017
“Behavioral Operational Research”
Theory, Methodology and Practice

Publisher / Amazon
2016
“Behavioural Models”
From Modelling Finite Automata to Analysing Business Processes

Publisher / Amazon
2016
“Beyond Basic Statistics”
Tips, Tricks, and Techniques Every Data Analyst Should Know

Publisher / Amazon
2015
“Big and Complex Data Analysis”
Methodologies and Applications

Publisher / Amazon
2016
“Big Data”
A Business and Legal Guide

Publisher / Amazon
2014
“Big Data Analysis”
New Algorithms for a New Society

Publisher / Amazon
2016
“Big Data Analytics”
Methods and Applications

Publisher / Amazon
2016
“Big Data Analytics”
A Management Perspective

Publisher / Amazon
2016
“Big Data Analytics”
Handbook of Statistics

Publisher / Amazon
2015
“Big Data Analytics in Genomics”


Publisher / Amazon
2016
“Big Data Analytics with Spark”
A Practitioner’s Guide to Using Spark for Large Scale Data Analysis

Publisher / Amazon
2015
“Big Data and Analytics”
Strategic and Organizational Impacts

Publisher / Amazon
2015
“Big Data and Learning Analytics in Higher Education”
Current Theory and Practice

Publisher / Amazon
2016
“Big Data and Social Science”
A Practical Guide to Methods and Tools

Publisher / Amazon
2016
“Big Data Concepts, Theories, and Applications”


Publisher / Amazon
2016
“Big Data Optimization”
Recent Developments and Challenges

Publisher / Amazon
2016
“Big Data Technologies and Applications”


Publisher / Amazon
2016
“Big Data, Data Mining, and Machine Learning”
Value Creation for Business Leaders and Practitioners

Publisher / Amazon
2014
“Big Visual Data Analysis”
Scene Classification and Geometric Labeling

Publisher / Amazon
2016
“Big-Data Analytics and Cloud Computing”
Theory, Algorithms and Applications

Publisher / Amazon
2016
“Biostatistics and Computer-based Analysis of Health Data using R”


Publisher / Amazon
2016
“Boosted Statistical Relational Learners”
From Benchmarks to Data-Driven Medicine

Publisher / Amazon
2015
“Bootstrapping Machine Learning”
The first guide to Prediction APIs

Publisher / Amazon
2014
“Building Recommendation Engines”
Understand your data and user preferences to make intelligent, accurate, and profitable decisions

Publisher / Amazon
2016
“Building Trading Bots Using Java”


Publisher / Amazon
2016
“Business Analytics Using R”
A Practical Approach

Publisher / Amazon
2017
“Case-based Evidence – Grundlagen und Anwendung”
Prognose und Verbesserung der Akzeptanz von Produkten und Projekten

Publisher / Amazon
2016
“Case-Based Reasoning”
A Textbook

Publisher / Amazon
2013
“Categorical Data Analysis by Example”


Publisher / Amazon
2016
“Challenges in Computational Statistics and Data Mining”


Publisher / Amazon
2016
“Clinical Data Analysis on a Pocket Calculator”
Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing

Publisher / Amazon
2016
“Cognitive Computing”
Theory and Applications

Publisher / Amazon
2016
“Cohort Intelligence”
A Socio-inspired Optimization Method

Publisher / Amazon
2016
“Complex Event Processing”
Verarbeitung von Ereignismustern in Datenströmen

Publisher / Amazon
2017
“Compression-Based Methods of Statistical Analysis and Prediction of Time Series”


Publisher / Amazon
2016
“Computational Actuarial Science with R”
A Hands-On Approach to Understanding and Using Actuarial Models

Publisher / Amazon
2014
“Computational Intelligence”
A Methodological Introduction

Publisher / Amazon
2016
“Computational Intelligence”
Probleme, Methoden Und Technische Anwendungen

Amazon
2016
“Computational Intelligence”
Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze

Publisher / Amazon
2015
“Computational Intelligence Techniques in Health Care”


Publisher / Amazon
2016
“Computational Intelligent Data Analysis for Sustainable Development”


Publisher / Amazon
2016
“Computational Personality Analysis”
Introduction, Practical Applications and Novel Directions

Publisher / Amazon
2016
“Conceptual Exploration”


Publisher / Amazon
2016
“Convolution Copula Econometrics”


Publisher / Amazon
2016
“Correspondence Analysis in Practice”


Publisher / Amazon
2016
“Customer Relationship Analytics”
Praktische Anwendung des Data Mining im CRM

Publisher / Amazon
2015
“Data Analysis in the Cloud”
Models, Techniques and Applications

Publisher / Amazon
2015
“Data Analytics”
Models and Algorithms for Intelligent Data Analysis

Publisher / Amazon
2016
“Data Analytics for Intelligent Transportation Systems”


Publisher / Amazon
2017
“Data Analytics for Internal Auditors”


Publisher / Amazon
2017
“Data Analytics im Mittelstand”
Fundierter Einblick in das Modethema ‘Big Data’

Publisher / Amazon
2016
“Data Analytics in Digital Humanities”


Publisher / Amazon
2017
“Data and Information Quality”
Dimensions, Principles and Techniques

Publisher / Amazon
2016
“Data Assimilation”
Mathematical Concepts and Instructive Examples

Publisher / Amazon
2015
“Data Assimilation”
A Mathematical Introduction

Publisher / Amazon
2015
“Data Classification”
Algorithms and Applications

Publisher / Amazon
2014
“Data Classification using Neural Analytics”


Publisher / Amazon
2017
“Data Clustering”
Algorithms and Applications

Publisher / Amazon
2013
“Data Envelopment Analysis”
A Handbook of Empirical Studies and Applications

Publisher / Amazon
2016
“Data Fitting and Uncertainty”
A practical introduction to weighted least squares and beyond

Publisher / Amazon
2016
“Data Mining”
Practical Machine Learning Tools and Techniques

Publisher / Amazon
2016
“Data Mining”


Amazon
2016
“Data Mining”
The Textbook

Publisher / Amazon
2015
“Data Mining”
Practical Machine Learning Tools and Techniques

Publisher / Amazon
2011
“Data Mining Algorithms”
Explained Using R

Publisher / Amazon
2015
“Data Mining and Analysis”
Fundamental Concepts and Algorithms

Publisher / Amazon
2014
“Data Mining and Constraint Programming”
Foundations of a Cross-Disciplinary Approach

Publisher / Amazon
2016
“Data Mining and Knowledge Discovery Handbook”


Publisher / Amazon
2010
“Data Mining for Managers”
How to Use Data (Big and Small) to Solve Business Challenges

Publisher / Amazon
2014
“Data Mining Techniques for the Life Sciences”


Publisher / Amazon
2016
“Data Mining with Decision Trees”
Theory and Applications

Publisher / Amazon
2007
“Data Mining with SPSS Modeler”
Theory, Exercises and Solutions

Publisher / Amazon
2016
“Data Science”
Create Teams That Ask the Right Questions and Deliver Real Value

Publisher / Amazon
2016
“Data Science and Big Data”
An Environment of Computational Intelligence

Publisher / Amazon
2017
“Data Science and Big Data Computing”
Frameworks and Methodologies

Publisher / Amazon
2016
“Data Science and Complex Networks”
Real Case Studies with Python

Publisher / Amazon
2016
“Data Science for Business”
What you need to know about Data Mining and Data-Analytic Thinking

Publisher / Amazon
2013
“Data Science Foundations”
Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Publisher / Amazon
2017
“Data Science From Scratch”
First Principles with Python

Publisher / Amazon
2015
“Data Scientist”
The Definitive Guide to Becoming a Data Scientist

Publisher / Amazon
2014
“Data Wrangling”
Munging in R with SQL and MongoDB for Financial Applications

Publisher / Amazon
2016
“Data Wrangling with R”


Publisher / Amazon
2016
“Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System”


Publisher / Amazon
2015
“Data-Intensive Science”


Publisher / Amazon
2016
“Data-Variant Kernel Analysis”


Publisher / Amazon
2015
“Deep Learning”
A Practitioner’s Approach

Publisher / Amazon
2016
“Deep Learning and Convolutional Neural Networks for Medical Image Computing”
Precision Medicine, High Performance and Large-Scale Datasets

Publisher / Amazon
2017
“Deep Learning for Biometrics”


Publisher / Amazon
2017
“Deep Learning for Medical Image Analysis”


Publisher / Amazon
2017
“Deep Learning with Python”
A Hands-on Introduction

Publisher / Amazon
2017
“Demand Forecasting for Inventory Control”


Publisher / Amazon
2015
“Descriptive Data Mining”


Publisher / Amazon
2017
“Developing Analytic Talent: Becoming a Data Scientist”
The definitive job search and preparation guide for data scientists

Publisher / Amazon
2014
“Diffuse Algorithms for Neural and Neuro-Fuzzy Networks”
With Applications in Control Engineering and Signal Processing

Publisher / Amazon
2017
“Diffusion in Social Networks”


Publisher / Amazon
2015
“Discrete Data Analysis with R”
Visualization and Modeling Techniques for Categorical and Count Data

Publisher / Amazon
2015
“Discrete Optimization in Architecture”
Extremely Modular Systems

Publisher / Amazon
2016
“Discriminative Learning in Biometrics”


Publisher / Amazon
2016
“Disk-Based Algorithms for Big Data”


Publisher / Amazon
2016
“Disruptive Analytics”
Charting Your Strategy for Next-Generation Business Analytics

Publisher / Amazon
2016
“Doing Data Science”


Publisher / Amazon
2013
“Effective CRM using Predictive Analytics”


Publisher / Amazon
2016
“Effizienzanalyse von Dienstleistungsproduktionen”
Eine Data Envelopment Analysis unter Berücksichtigung stochastischer externer Faktoren

Publisher / Amazon
2016
“Elements of Nonlinear Time Series Analysis and Forecasting”


Publisher / Amazon
2016
“Encyclopedia of Algorithms”


Publisher / Amazon
2016
“Encyclopedia of Algorithms”


Publisher / Amazon
2016
“Encyclopedia of Distances”


Publisher / Amazon
2016
“Encyclopedia of Machine Learning”


Publisher / Amazon
2011
“Encyclopedia of Machine Learning and Data Mining”


Publisher / Amazon
2017
“Encyclopedia of Social Network Analysis and Mining”
(ESNAM)

Publisher / Amazon
2014
“Ensemble Methods in Data Mining”
Improving Accuracy Through Combining Predictions

Publisher / Amazon
2010
“Environmental Data Analysis”
Methods and Applications

Publisher / Amazon
2017
“Environmental Data Analysis”
Methods and Applications

Publisher / Amazon
2016
“Event Mining”
Algorithms and Applications

Publisher / Amazon
2015
“Evolutionary Algorithms for Food Science and Technology”


Publisher / Amazon
2017
“Evolutionary Multi-Agent Systems”
From Inspirations to Applications

Publisher / Amazon
2017
“Examples in Parametric Inference with R”


Publisher / Amazon
2016
“Experience Management”
Foundations, Development Methodology and Internet-Based Applications

Publisher / Amazon
2002
“Exploratory Multivariate Analysis by Example Using R”


Publisher / Amazon
2017
“Exploring Neural Networks with C#”


Publisher / Amazon
2014
“Extending the Linear Model with R”
Generalized Linear, Mixed Effects and Nonparametric Regression Models

Publisher / Amazon
2016
“Extracting Knowledge from Time Series”
An Introduction to Nonlinear Empirical Modeling

Publisher / Amazon
2010
“Extremal Optimization”
Fundamentals, Algorithms, and Applications

Publisher / Amazon
2016
“Extreme Value Distributions”


Publisher / Amazon
2016
“Fault-Tolerant Search Algorithms”
Reliable Computation with Unreliable Information

Publisher / Amazon
2013
“Feature Extraction, Construction and Selection”
A Data Mining Perspective

Publisher / Amazon
1998
“Feature Extraction: Foundations and Applications”


Publisher / Amazon
2006
“Feature Selection for High-Dimensional Data”


Publisher / Amazon
2016
“Finding out about”
A cognitive perspective on Search Engine Technology and the WWW

Amazon
2001
“Finite Mathematics”
Models and Applications

Publisher / Amazon
2015
“Fireworks Algorithm”
A Novel Swarm Intelligence Optimization Method

Publisher / Amazon
2015
“Flexible Regression and Smoothing”
Using GAMLSS in R

Publisher / Amazon
2017
“Forecast Error Correction using Dynamic Data Assimilation”


Publisher / Amazon
2016
“Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering”


Publisher / Amazon
2016
“Foundations of Predictive Analytics”


Publisher / Amazon
2012
“Fraud Data Analytics Methodology”
The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

Publisher / Amazon
2017
“From Curve Fitting to Machine Learning”
An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

Publisher / Amazon
2016
“From Social Data Mining and Analysis to Prediction and Community Detection”


Publisher / Amazon
2017
“Functional Data Analysis”


Publisher / Amazon
2005
“Fundamental Issues of Artificial Intelligence”


Publisher / Amazon
2016
“Fundamentals of Big Data Network Analysis for Research and Industry”


Publisher / Amazon
2016
“Fundamentals of Database Indexing and Searching”


Publisher
2016
“Fundamentals of Machine Learning for Predictive Data Analytics”
Algorithms, Worked Examples, and Case Studies

Publisher / Amazon
2015
“Fundamentals of Predictive Text Mining”


Publisher / Amazon
2015
“Fuzziness in Information Systems”
How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization

Publisher / Amazon
2016
“Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration”


Publisher / Amazon
2005
“Fuzzy Sets, Rough Sets, Multisets and Clustering”


Publisher / Amazon
2017
“Fuzzy Technology”
Present Applications and Future Challenges

Publisher / Amazon
2016
“Gems of Combinatorial Optimization and Graph Algorithms”


Amazon
2015
“Generalizations of Fuzzy Information Measures”


Publisher / Amazon
2016
“Generalized Additive Models”
An Introduction with R

Publisher / Amazon
2017
“Generalized Connectivity of Graphs”


Publisher / Amazon
2016
“Generalized Low Rank Models”


Publisher / Amazon
2016
“Generalized Principal Component Analysis”


Publisher / Amazon
2016
“Genetic Algorithm Essentials”


Publisher / Amazon
2017
“Genetic Algorithms in Java Basics”


Publisher / Amazon
2015
“Genetic Programming Theory and Practice XIII”


Publisher / Amazon
2017
“Glowworm Swarm Optimization”
Theory, Algorithms, and Applications

Publisher / Amazon
2017
“Granular-Relational Data Mining”
How to Mine Relational Data in the Paradigm of Granular Computing?

Publisher / Amazon
2017
“Graph Analysis and Visualization”
Discovering Business Opportunity in Linked Data

Publisher / Amazon
2015
“Graph-Based Social Media Analysis”


Publisher / Amazon
2015
“Grey Data Analysis”
Methods, Models and Applications

Publisher / Amazon
2017
“Grouping Genetic Algorithms”
Advances and Applications

Publisher / Amazon
2016
“Guide to Convolutional Neural Networks”
A Practical Application to Traffic-Sign Detection and Classification

Publisher / Amazon
2017
“Guide to Intelligent Data Analysis”
How to Intelligently Make Sense of Real Data

Publisher / Amazon
2010
“Hadoop”
The Definitive Guide

Publisher / Amazon
2012
“Handbook of Big Data”


Publisher / Amazon
2016
“Handbook of Discrete-Valued Time Series”


Publisher / Amazon
2015
“Handbook of Heuristics”


Publisher / Amazon
2018
“Handbook of Item Response Theory”
Volume One: Models

Publisher / Amazon
2016
“Handbook of Metaheuristics”


Publisher / Amazon
2010
“Handbook of Missing Data Methodology”


Publisher / Amazon
2014
“Handbook of Mixed Membership Models and Their Applications”


Publisher / Amazon
2014
“Handbook of Operations Analytics Using Data Envelopment Analysis”


Publisher / Amazon
2016
“Handbook of Robust Low-Rank and Sparse Matrix Decomposition”
Applications in Image and Video Processing

Publisher / Amazon
2016
“Handbook of Statistical Analysis and Data Mining Applications”


Publisher / Amazon
2009
“Handbook of Statistical Methods and Analyses in Sports”


Publisher / Amazon
2016
“Handbook of Survival Analysis”


Publisher / Amazon
2013
“Hands-On Machine Learning with Scikit-Learn and TensorFlow”
Concepts, Tools, and Techniques for Building Intelligent Systems

Publisher / Amazon
2017
“Healthcare Analytics”
From Data to Knowledge to Healthcare Improvement

Publisher / Amazon
2016
“Healthcare Data Analytics”


Publisher / Amazon
2015
“Heuristic Search”
The Emerging Science of Problem Solving

Publisher / Amazon
2017
“Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling”


Publisher / Amazon
2016
“Hidden Markov Models for Time Series”
An Introduction Using R

Publisher / Amazon
2016
“Hidden Semi-Markov Models”
Theory, Algorithms and Applications

Publisher / Amazon
2015
“High Performance Data Mining and Big Data Analytics”
The Story of Insight from Big Data

Publisher / Amazon
2014
“Human Activity Recognition and Prediction”


Publisher / Amazon
2016
“Human Re-Identification”


Publisher / Amazon
2016
“Hyper-lattice Algebraic Model for Data Warehousing”


Publisher / Amazon
2016
“Information Fusion for Cyber-Security Analytics”


Publisher / Amazon
2016
“Insight into Fuzzy Modeling”


Publisher / Amazon
2016
“Intelligent Computing Systems”
Emerging Application Areas

Publisher / Amazon
2016
“Intelligent Data Analysis”
An Introduction

Publisher / Amazon
2006
“Intelligent Techniques for Data Science”


Publisher / Amazon
2016
“Intelligent Transportation Systems”
Dependable Vehicular Communications for Improved Road Safety

Publisher / Amazon
2016
“Interpretability of Computational Intelligence-Based Regression Models”


Publisher / Amazon
2015
“Introduction to Artificial Intelligence”


Publisher / Amazon
2016
“Introduction to Bayesian Statistics”


Publisher / Amazon
2016
“Introduction to Business Analytics Using Simulation”


Publisher / Amazon
2016
“Introduction to Data Science”
A Python Approach to Concepts, Techniques and Applications

Publisher / Amazon
2017
“Introduction to Deep Learning Using R”
A Step-by-Step Guide to Learning and Implementing Deep Learning Models using R

Publisher / Amazon
2017
“Introduction to modern Time Series Analysis”


Publisher / Amazon
2008
“Introduction to Nonparametric Statistics for the Biological Sciences Using R”


Publisher / Amazon
2016
“Introduction to Probability with Statistical Applications”


Publisher / Amazon
2016
“Introduction to Scientific Computing and Data Analysis”


Publisher / Amazon
2016
“Introduction to Scientific Programming and Simulation Using R”


Publisher / Amazon
“Introduction to Statistical Analysis of Laboratory Data”


Publisher / Amazon
2016
“Introduction to Statistical Machine Learning”


Publisher / Amazon
2015
“Introduction to the Modeling and Analysis of Complex Systems”


Publisher / Amazon
2015
“Introduction to Time Series and Forecasting”


Publisher / Amazon
2016
“Introduction to Time Series Forecasting With Python”


Publisher
2017
“Issues in the Use of Neural Networks in Information Retrieval”


Publisher / Amazon
2017
“Java Data Mining”
Strategy, Standard, and Practice. A Practical Guide for Architecture, Design, and Implementation

Publisher / Amazon
2006
“Joint Modeling of Longitudinal and Time-to-Event Data”


Publisher / Amazon
2016
“Künstliche Intelligenz”


Publisher / Amazon
2004
“Kalman Filtering”
with Real-Time Applications

Publisher / Amazon
2017
“Knowledge Transfer between Computer Vision and Text Mining”
Similarity-based Learning Approaches

Publisher / Amazon
2016
“Large-Scale Graph Processing Using Apache Giraph”


Publisher / Amazon
2017
“Lasso-MPC – Predictive Control with 1-Regularised Least Squares”


Publisher / Amazon
2016
“Learning Analytics”
Measurement Innovations to Support Employee Development

Publisher / Amazon
2016
“Learning Analytics in R with SNA, LSA, and MPIA”


Publisher / Amazon
2016
“Linear and Nonlinear Programming”


Publisher / Amazon
2016
“Linear Programming”
Foundations and Extensions

Publisher / Amazon
2014
“Linear Regression”


Publisher / Amazon
2017
“Link Prediction in Social Networks”
Role of Power Law Distribution

Publisher / Amazon
2016
“Machine Intelligence and Big Data in Industry”


Publisher / Amazon
2016
“Machine Learning”
Algorithms and Applications

Publisher / Amazon
2016
“Machine Learning”
The Art and Science of Algorithms that Make Sense of Data

Publisher / Amazon
2012
“Machine Learning for Evolution Strategies”


Publisher / Amazon
2016
“Machine Learning For Hackers”


Publisher / Amazon
2012
“Machine Learning in Complex Networks”


Publisher / Amazon
2016
“Machine Learning in Python”
Essential Techniques for Predictive Analysis

Publisher / Amazon
2015
“Machine Learning Models and Algorithms for Big Data Classification”
Thinking with Examples for Effective Learning

Publisher / Amazon
2016
“Machine Learning Paradigms”
Artificial Immune Systems and their Applications in Software Personalization

Publisher / Amazon
2016
“Machine Learning Paradigms”
Applications in Recommender Systems

Publisher / Amazon
2015
“Machine Learning Using R”


Publisher / Amazon
2017
“Managing and Mining Graph Data”
Advances in Database Systems

Publisher / Amazon
2012
“Marketing Analytics”
Data-Driven Techniques with Microsoft Excel

Publisher / Amazon
2014
“Mastering Data Analysis with R”
Gain clear insights into your data and solve real-world data science problems with R – from data munging to modeling and visualization

Publisher / Amazon
2015
“Mastering Machine Learning with R”


Publisher / Amazon
2015
“Mastering Text Mining with R”
Master text-taming techniques and build effective text-processing applications with R

Publisher / Amazon
2016
“Mathematical Problems in Data Science”
Theoretical and Practical Methods

Publisher / Amazon
2015
“MATLAB Deep Learning”
With Machine Learning, Neural Networks and Artificial Intelligence

Publisher / Amazon
2017
“Matrix and Tensor Factorization Techniques for Recommender Systems”


Publisher / Amazon
2017
“Matrix-Based Introduction to Multivariate Data Analysis”


Publisher / Amazon
2016
“Measures of Complexity”
Festschrift for Alexey Chervonenkis

Publisher / Amazon
2015
“Medical Decision Making”
A Health Economic Primer

Publisher / Amazon
2017
“Meta-Analysis”
A Structural Equation Modeling Approach

Publisher / Amazon
2015
“Meta-Analytic Structural Equation Modelling”


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2015
“Metaheuristics”


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2016
“Mining Latent Entity Structures”


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2015
“Mining Multimedia Documents”


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2017
“Mixed Effects Models for the Population Approach”
Models, Tasks, Methods and Tools

Publisher / Amazon
2014
“Mixture Model-Based Classification”


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2016
“Model-Free Prediction and Regression”
A Transformation-Based Approach to Inference

Publisher / Amazon
2015
“Modeling Discrete Time-to-Event Data”


Publisher / Amazon
2016
“Modeling Techniques in Predictive Analytics”
Business Problems and Solutions with R

Publisher / Amazon
2013
“Modern Analysis of Customer Surveys”
with Applications using R

Publisher / Amazon
2012
“Monte-Carlo Simulation-Based Statistical Modeling”


Publisher / Amazon
2017
“Movie Analytics”
A Hollywood Introduction to Big Data

Publisher / Amazon
2015
“Multicriteria and Clustering”
Classification Techniques in Agrifood and Environment

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2017
“Multimedia Content Analysis”


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2016
“Multimodal Optimization by Means of Evolutionary Algorithms”


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2015
“Multiobjective Linear and Integer Programming”


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2016
“Multiobjective Linear Programming”
An Introduction

Publisher / Amazon
2016
“Multiple Criteria Decision Analysis”
State of the Art Surveys

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2016
“Multiple Criteria Decision Making by Multiobjective Optimization”


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2016
“Multiple Instance Learning”
Foundations and Algorithms

Publisher / Amazon
2016
“Multivariable Dynamic Calculus on Time Scales”


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2016
“Multivariate Modelling of Non-Stationary Economic Time Series”


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2017
“Multivariate Survival Analysis and Competing Risks”


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2016
“Multivariate Time Series With Linear State Space Structure”


Publisher / Amazon
2016
“Nature-Inspired Optimization Algorithms”


Publisher / Amazon
2016
“Network Analysis Literacy”
A Practical Approach to the Analysis of Networks

Publisher / Amazon
2016
“Network Data Envelopment Analysis”
Foundations and Extensions

Publisher / Amazon
2016
“Network Role Mining and Analysis”


Publisher / Amazon
2017
“Neural Networks and Statistical Learning”


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2014
“New Approaches in Intelligent Image Analysis”
Techniques, Methodologies and Applications

Publisher / Amazon
2016
“New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks”


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2016
“New Introduction to Multiple Time Series Analysis”


Publisher
2005
“Nonlinear Principal Component Analysis and Its Applications”


Publisher / Amazon
2016
“Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments”


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2016
“Non-negative Matrix Factorization Techniques”
Advances in Theory and Applications

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2016
“Novel Applications of Intelligent Systems”


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2016
“Online Algorithms for the Portfolio Selection Problem”


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2016
“Online Portfolio Selection”
Principles and Algorithms

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2015
“Operators for Similarity Search”
Semantics, Techniques and Usage Scenarios

Publisher / Amazon
2015
“Optimization and Decision Support Systems for Supply Chains”


Publisher / Amazon
2017
“Optimization by GRASP”
Greedy Randomized Adaptive Search Procedures

Publisher / Amazon
2016
“Outlier Analysis”


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2017
“Parallel Computing for Data Science”
With Examples in R, C++ and CUDA

Publisher / Amazon
2015
“Parallelism in Matrix Computations”


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2015
“Partitional Clustering Algorithms”


Publisher / Amazon
2014
“Pattern Classification of Biomedical Image Time-Series”
Computer Aided Diagnosis

Publisher / Amazon
2017
“Pattern Mining with Evolutionary Algorithms”


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2016
“Patterns of Scalable Bayesian Inference”
Foundations and Trends in Machine Learning

Publisher / Amazon
2016
“People Analytics in the Era of Big Data”
Changing the Way You Attract, Acquire, Develop, and Retain Talent

Publisher / Amazon
2016
“Perfect Simulation”


Publisher / Amazon
2015
“Perspectives on Data Science for Software Engineering”


Publisher / Amazon
2016
“Plan Prediction”
Which Policy is Preferred by Which People?

Publisher / Amazon
2017
“Post, Mine, Repeat”
Social Media Data Mining Becomes Ordinary

Publisher / Amazon
2016
“Practical Graph Analytics with Apache Giraph”


Publisher / Amazon
2015
“Practical Guide to Logistic Regression”


Publisher / Amazon
2015
“Practical Hive”
A Guide to Hadoop’s Data Warehouse System

Publisher / Amazon
2016
“Prediction and Inference from Social Networks and Social Media”


Publisher / Amazon
2017
“Predictive Analytics, Data Mining and Big Data”
Myths, Misconceptions and Methods

Publisher / Amazon
2014
“Predictive Data Mining Models”


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2016
“Predictive HR Analytics”
Mastering the HR Metric

Publisher / Amazon
2016
“Principal Component Analysis Networks and Algorithms”


Publisher / Amazon
2017
“Principal Component Regression for Crop Yield Estimation”


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2016
“Principles of Data Mining”


Publisher / Amazon
2016
“Pro Hadoop Data Analytics”
Designing and Building Big Data Systems using the Hadoop Ecosystem

Publisher / Amazon
2016
“Probabilistic Approaches to Recommendations”
Synthesis Lectures on Data Mining and Knowledge Discovery

Publisher / Amazon
2014
“Probabilistic Models of Population Evolution”
Scaling Limits, Genealogies and Interactions

Publisher / Amazon
2016
“Probabilistic Networks and Expert Systems”
Exact Computational Methods for Bayesian Networks

Publisher / Amazon
2007
“Probability and Conditional Expectation”
Fundamentals for the Empirical Sciences

Publisher / Amazon
2017
“Probability Collectives”
A Distributed Multi-agent System Approach for Optimization

Publisher / Amazon
2015
“Probability Distributions”
With Truncated, Log and Bivariate Extensions

Publisher / Amazon
2017
“Process Analytics”
Concepts and Techniques for Querying and Analyzing Process Data

Publisher / Amazon
2015
“Process Mining”
Data Science in Action

Publisher / Amazon
2016
“Process Mining”
Discovery, Conformance and Enhancement of Business Processes

Publisher / Amazon
2011
“Processing and Analyzing Financial Data with R”


Publisher / Amazon
2017
“Production and Efficiency Analysis with R”


Publisher / Amazon
2015
“Programming Collective Intelligence”
Building Smart Web 2.0 Applications

Publisher / Amazon
2007
“Programming for Computations – Python”
A Gentle Introduction to Numerical Simulations with Python

Publisher / Amazon
2016
“Proper Generalized Decompositions”
An Introduction to Computer Implementation with Matlab

Publisher / Amazon
2016
“Python For ArcGIS”


Publisher / Amazon
2015
“Quality Control with R”
An ISO Standards Approach

Publisher / Amazon
2015
“Quantitative Data Analysis”
A Companion for Accounting and Information Systems Research

Publisher / Amazon
2016
“Quantitative Reasoning”
Tools for Today’s Informed Citizen

Publisher / Amazon
2015
“R for Data Science”


Publisher / Amazon
2017
“R Packages”


Publisher / Amazon
2015
“R Primer”


Publisher / Amazon
2017
“Rankings and Preferences”
New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications

Publisher / Amazon
2015
“Real World Data Mining Applications”


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2015
“Real-Time Analytics”
Techniques to Analyze and Visualize Streaming Data

Publisher / Amazon
2014
“Realtime Data Mining”
Self-Learning Techniques for Recommendation Engines

Publisher / Amazon
2014
“Recommender Systems”
The Textbook

Publisher / Amazon
2016
“Recommender Systems Handbook”


Publisher
2015
“Recursive Identification and Parameter Estimation”
Recursive approach to solving system identification and parameter estimation problems arising from diverse areas

Publisher / Amazon
2014
“Regression Modeling Strategies”
With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Publisher / Amazon
2015
“Reinforcement Learning”
State-of-the-Art (Adaptation, Learning, and Optimization)

Publisher / Amazon
2012
“Retail Analytics”
Integrated Forecasting and Inventory Management for Perishable Products in Retailing

Publisher / Amazon
2015
“Roadside Video Data Analysis”
Deep Learning

Publisher / Amazon
2017
“Robust Correlation”
Theory and Applications

Publisher / Amazon
2016
“Robust Intelligence and Trust in Autonomous Systems”


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2016
“Rule Based Systems for Big Data”


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2016
“Scalable Algorithms for Data and Network Analysis”


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2016
“Scheduling”
Theory, Algorithms, and Systems

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2016
“Search Techniques in Intelligent Classification Systems”


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2016
“Self-Organizing Migrating Algorithm”
Methodology and Implementation

Publisher / Amazon
2016
“Sequential Analysis”
Hypothesis Testing and Changepoint Detection

Publisher / Amazon
2014
“Simulation and the Monte Carlo Method”


Publisher / Amazon
2016
“Social Media Mining with R”
Deploy cutting-edge sentiment analysis techniques to real-world social media data using R

Publisher / Amazon
2014
“Social Network Analysis in Predictive Policing”
Concepts, Models and Methods

Publisher / Amazon
2016
“Social Network-Based Recommender Systems”


Publisher / Amazon
2015
“Soft Computing in Data Science”


Publisher / Amazon
2016
“Spatial Data Mining”
Theory and Application

Publisher / Amazon
2015
“Spatio-Temporal Recommendation in Social Media”


Publisher / Amazon
2016
“Springer Handbook of Computational Intelligence”


Publisher / Amazon
2015
“Springer Handbook of Speech Processing”


Publisher / Amazon
2017
“Statistical Data Analytics”
Foundations for Data Mining, Informatics, and Knowledge Discovery

Publisher / Amazon
2015
“Statistical Learning from a Regression Perspective”


Publisher / Amazon
2016
“Statistical Reinforcement Learning”
Modern Machine Learning Approaches

Publisher / Amazon
2015
“Statistical Rethinking: A Bayesian Course with Examples in R and Stan”


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2015
“Statistics for Lawyers”


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2015
“Stochastic Analysis for Finance with Simulations”


Publisher / Amazon
2016
“Stochastic Calculus of Variations”


Amazon
2016
“Stochastic Neuron Models”


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2016
“Stochastic Optimization Methods”
Applications in Engineering and Operations Research

Publisher / Amazon
2015
“Stochastische Risikomodellierung und statistische Methoden”


Publisher / Amazon
2016
“Structural Pattern Recognition with Graph Edit Distance”
Approximation Algorithms and Applications

Publisher / Amazon
2015
“Support Vector Machines and Perceptrons”
Learning, Optimization, Classification, and Application to Social Networks

Publisher / Amazon
2016
“Survival Analysis”
A Self-Learning Text

Publisher / Amazon
2011
“Survival and Event History Analysis”
A Process Point of View

Publisher / Amazon
2008
“Survival under Uncertainty”
An Introduction to Probability Models of Social Structure and Evolution

Publisher / Amazon
2016
“System Dynamics Modeling with R”


Publisher / Amazon
2016
“Techniques and Environments for Big Data Analysis”
Parallel, Cloud, and Grid Computing

Publisher / Amazon
2016
“Tempered Stable Distributions”
Stochastic Models for Multiscale Processes

Publisher / Amazon
2016
“Temporal Data Mining via Unsupervised Ensemble Learning”


Publisher / Amazon
2016
“TensorFlow For Machine Intelligence”
A Hands-on Introduction to Learning Algorithms

Publisher / Amazon
2016
“Text Analytics with Python”
A Practical Real-World Approach to Gaining Actionable Insights from your Data

Publisher / Amazon
2016
“The Art and Science of Analyzing Software Data”
Analysis Patterns

Publisher / Amazon
2015
“The Basics of Item Response Theory Using R”


Publisher / Amazon
2017
“The Cox Model and Its Applications”


Publisher / Amazon
2016
“The Elements of Statistical Learning”
Data Mining, Inference, and Prediction

Publisher / Amazon
2011
“The Encyclopedia of Big Data”


Publisher / Amazon
2017
“The Fundamentals of Computational Intelligence”
System Approach

Publisher / Amazon
2017
“The Tyranny of Uncertainty”
A New Framework to Predict, Remediate and Monitor Risk

Publisher / Amazon
2016
“Theory and Methods of Statistics”


Publisher / Amazon
2016
“Thinking with Data”
How to Turn Information into Insights

Publisher / Amazon
2014
“Thoughtful Machine Learning”
A Test-Driven Approach

Publisher / Amazon
2014
“Time Series Analysis”
Nonstationary and Noninvertible Distribution Theory

Publisher / Amazon
2017
“Time Series Analysis”


Publisher / Amazon
2016
“Time Series Analysis and Forecasting”
Selected Contributions from the ITISE Conference

Publisher / Amazon
2016
“Time Series Analysis and Its Applications”
With R Examples

Publisher / Amazon
2017
“Time Series Analysis Methods and Applications for Flight Data”


Publisher / Amazon
2017
“Time Series Econometrics”


Publisher / Amazon
2016
“Topological Methods in Data Analysis and Visualization IV”
Theory, Algorithms, and Applications

Publisher / Amazon
2017
“Traffic Anomaly Detection”


Publisher / Amazon
2015
“Transparent Data Mining for Big and Small Data”


Publisher / Amazon
2017
“Trends in Social Network Analysis”
Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment

Publisher / Amazon
2017
“Twin Support Vector Machines”
Models, Extensions and Applications

Publisher / Amazon
2017
“Uncertain Data Envelopment Analysis”


Publisher / Amazon
2016
“Unsupervised Learning Algorithms”


Publisher / Amazon
2016
“Using R for Digital Soil Mapping”


Publisher / Amazon
2016
“Using R for Introductory Econometrics”


Publisher / Amazon
2016
“Vector Generalized Linear and Additive Models”
With an Implementation in R

Publisher / Amazon
2015
“Visual Attributes”


Publisher / Amazon
2017
“Visual Six Sigma”
Making Data Analysis Lean

Publisher / Amazon
2016
“Winning at Litigation through Decision Analysis”
Creating and Executing Winning Strategies in any Litigation or Dispute

Publisher / Amazon
2016

Semantic Analytics

“A Practical Guide to Sentiment Analysis”


Publisher / Amazon
2017
“Analyzing Linguistic Data”
A Practical Introduction to Statistics using R

Publisher / Amazon
2014
“Anaphora Resolution”
Algorithms, Resources, and Applications

Publisher / Amazon
2016
“Begriffliche Wissensverarbeitung”
Methoden und Anwendungen

Publisher / Amazon
2013
“Cognitive Approach to Natural Language Processing”


Publisher / Amazon
2017
“Corporate Knowledge Discovery and Organizational Learning”
The Role, Importance, and Application of Semantic Business Process Management

Publisher / Amazon
2016
“Current Trends on Knowledge-Based Systems”


Publisher / Amazon
2017
“Data Quality Management with Semantic Technologies”


Publisher / Amazon
2016
“Exploiting Linked Data and Knowledge Graphs for Large Organisations”


Publisher / Amazon
2016
“Fundamentals of Predictive Text Mining”


Publisher / Amazon
2015
“Grammatical Inference”
Algorithms, Routines and Applications

Publisher / Amazon
2017
“Handbook of Semantic Web Technologies”


Publisher / Amazon
2011
“Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data”
First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers

Publisher / Amazon
2016
“Linked Data Management”
Emerging Directions in Database Systems and Applications

Publisher / Amazon
2014
“Linking Enterprise Data”


Publisher / Amazon
2010
“Natural Language Understanding in a Semantic Web Context”


Publisher / Amazon
2016
“Ontologies-Based Business Integration”


Publisher / Amazon
2008
“Practical Text Mining”
… and Statistical Analysis for non-structured Text Data Applications

Amazon
2012
“Prominent Feature Extraction for Sentiment Analysis”


Publisher / Amazon
2016
“Querying a Web of Linked Data”
Foundations and Query Execution

Publisher / Amazon
2016
“Semantic Search on Text and Knowledge Bases”


Publisher / Amazon
2016
“Semantic Web”
Implications for Technologies and Business Practices

Publisher / Amazon
2016
“Semantic Web Technologies for Intelligent Engineering Applications”


Publisher / Amazon
2016
“Semantische Technologien”
Grundlagen. Konzepte. Anwendungen.

Publisher / Amazon
2012
“Sentic Computing”
A Common-Sense-Based Framework for Concept-Level Sentiment Analysis

Publisher / Amazon
2015
“Sentic Computing”
Techniques, Tools, and Applications

Publisher / Amazon
2012
“Sentiment Analysis and Ontology Engineering”
An Environment of Computational Intelligence

Publisher / Amazon
2016
“Sentiment Analysis in Social Networks”


Publisher / Amazon
2017
“Text Analysis Pipelines”
Towards Ad-hoc Large-Scale Text Mining

Publisher / Amazon
2015
“Text Analysis with R for Students of Literature”


Publisher / Amazon
2014
“Text Mining”
From Ontology Learning to Automated Text Processing Applications

Publisher / Amazon
2014
“Text Mining and Visualization”
Case Studies Using Open-Source Tools

Publisher / Amazon
2015
“Text Mining with R”
A tidy approach

Publisher / Amazon
2017
“The SenticNet Sentiment Lexicon”
Exploring Semantic Richness in Multi-Word Concepts

Publisher / Amazon
2016
“Wissensmanagement Mit Social Media”
Grundlagen Und Anwendungen

Amazon
2016
“Words and Graphs”


Publisher / Amazon
2016

R

“A Tiny Handbook of R”


Publisher / Amazon
2011
“Advanced Object-Oriented Programming in R”
Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“Advanced R”
Data Mining and Knowledge Discovery Series

Publisher / Amazon
2014
“Beginning Data Science with R”


Publisher / Amazon
2014
“Beginning R”
An Introduction to Statistical Programming

Publisher / Amazon
2015
“Data Mining with R”
Learning with Case Studies

Publisher / Amazon
2010
“Data Mining with Rattle and R”
The Art of Excavating Data for Knowledge Discovery

Publisher / Amazon
2011
“Data Science in R”
A Case Studies Approach to Computational Reasoning and Problem Solving

Publisher / Amazon
2015
“Discovering Statistics using R”


Publisher / Amazon
2012
“Displaying Time Series, Spatial, and Space-Time Data with R”
Code and Methods for Creating High-Quality Data Graphics

Publisher / Amazon
2014
“Dynamic Documents with R and knitr”


Publisher / Amazon
2015
“Extending R”


Publisher / Amazon
2016
“Functional Programming in R”
Advanced Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“ggplot2”
Elegant Graphics for Data Analysis

Publisher / Amazon
2016
“Graphical Data Analysis with R”


Publisher / Amazon
2015
“Graphing Data with R”
An Introduction

Publisher / Amazon
2015
“Hands-On Programming with R”
Write Your Own Functions and Simulations

Publisher / Amazon
2014
“Heat Maps in R How-to”
Learn how to design heat maps in R to enhance your data analysis

Publisher / Amazon
2013
“Lattice: Multivariate Data Visualization with R”


Publisher / Amazon
2008
“Learn ggplot2 Using Shiny App”


Publisher / Amazon
2017
“Learning R”
A Step-by-Step Function Guide to Data Analysis

Publisher / Amazon
2013
“Linear Models with R”
Second Edition

Publisher / Amazon
2014
“Machine Learning with R”


Publisher / Amazon
2013
“Mastering RStudio”
Develop, Communicate, and Collaborate with R

Publisher / Amazon
2015
“Mastering Scientific Computing with R”
Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Publisher / Amazon
2015
“Metaprogramming in R”
Advanced Statistical Programming for Data Science, Analysis and Finance

Publisher / Amazon
2017
“Modern Data Science with R”


Publisher / Amazon
2017
“Practical Data Science with R”


Publisher / Amazon
2014
“Practical Graph Mining with R”
Data Mining and Knowledge Discovery Series

Publisher / Amazon
2013
“R For Business Analytics”


Publisher / Amazon
2012
“R for Cloud Computing”
An Approach for Data Scientists

Publisher / Amazon
2014
“R for Programmers”
Advanced Techniques

Publisher / Amazon
2017
“R for Programmers”
Mastering the Tools

Publisher / Amazon
2016
“R Graphs Cookbook”


Publisher / Amazon
2011
“R High Performance Programming”
Overcome performance difficulties in R with a range of exciting techniques and solutions

Publisher / Amazon
2015
“R In A Nutshell”


Publisher / Amazon
2010
“R Recipes”
A Problem-Solution Approach

Publisher / Amazon
2014
“R Through Excel”


Publisher / Amazon
2010
“Reproducible Research with R and R Studio”


Publisher / Amazon
2015
“Software for Data Analysis”
Programming with R

Publisher / Amazon
2009
“Testing R Code”


Publisher / Amazon
2016
“The R Primer”


Publisher / Amazon
2017
“Understanding and Applying Basic Statistical Methods Using R”


Publisher / Amazon
2016
“Using R and RStudio for Data Management, Statistical Analysis, and Graphics”
Improve Your Analytical Skills

Publisher / Amazon
2015
“Using R for Introductory Statistics”
Second Edition

Publisher / Amazon
2014

.Net

“Machine Learning Projects for .NET Developers”


Publisher / Amazon
2015

Python

“A Primer on Scientific Programming with Python”


Publisher / Amazon
2014
“Doing Math with Python”
Use Programming to Explore Algebra, Statistics, Calculus, and More!

Publisher / Amazon
2015
“Mastering Machine Learning with Python in Six Steps”
A Practical Implementation Guide to Predictive Data Analytics Using Python

Publisher / Amazon
2017
“Numerical Python”
A Practical Techniques Approach for Industry

Publisher / Amazon
2015
“Python Data Analytics”
Data Analysis and Science using pandas, matplotlib and the Python Programming Language

Publisher / Amazon
2015
“Python Data Science Handbook”
Essential Tools for Working with Data

Publisher / Amazon
2016
“Python for Probability, Statistics, and Machine Learning”


Publisher / Amazon
2016
“Python Machine Learning Case Studies”
Five Case Studies for the Data Scientist

Publisher / Amazon
2017

Scala

“Building a Recommendation Engine with Scala”


Publisher / Amazon
2016
“Scala for Data Science”


Publisher / Amazon
2016
“Scala for Spark in Production”
Fast distributed computing in the enterprise

Publisher / Amazon
2017

Java

“Neural Network Programming with Java”


Publisher / Amazon
2016
“Numeric Computation and Statistical Data Analysis on the Java Platform”


Publisher / Amazon
2016

Statistics

“A Course in Mathematical Statistics and Large Sample Theory”


Publisher / Amazon
2016
“A Course in Statistics with R”


Publisher / Amazon
2016
“A Handbook of Statistical Analyses using R”
Third Edition

Publisher / Amazon
2014
“Angewandte Statistik”
Methodensammlung mit R

Publisher / Amazon
2012
“Angewandte Statistik mit R”
Eine Einführung für Ökonomen und Sozialwissenschaftler

Publisher / Amazon
2016
“Applied Univariate, Bivariate and Multivariate Statistics”


Publisher / Amazon
2015
“Bayesian Inference”
Data Evaluation and Decisions

Publisher / Amazon
2016
“Causal Inference in Statistics”
A Primer

Publisher / Amazon
2016
“Circular Statistics in R”


Publisher / Amazon
2014
“Computational Probability”
Algorithms and Applications in the Mathematical Sciences

Publisher / Amazon
2016
“Convex Analysis and Global Optimization”


Publisher / Amazon
2016
“Discrete Probability Models and Methods”
Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Publisher / Amazon
2017
“Elements of Probability and Statistics”
An Introduction to Probability with de Finetti’s Approach and to Bayesian Statistics

Publisher / Amazon
2016
“Fortgeschrittene Multivariate Analysemethoden”
Eine anwendungsorientierte Einführung

Publisher / Amazon
2013
“Foundations of Statistical Algorithms”
With References to R Packages

Publisher / Amazon
2013
“Handbook of Computational Statistics”
Concepts and Methods

Publisher / Amazon
2004
“Handbook of Financial Econometrics and Statistics”


Publisher / Amazon
2014
“How to Count”
An Introduction to Combinatorics and Its Applications

Publisher / Amazon
2015
“Inferenzstatistik Verstehen”
Von A wie Signifikanztest bis Z wie Konfidenzintervall

Publisher / Amazon
2013
“Introduction to High-Dimensional Statistics”


Publisher / Amazon
2014
“Introduction to Probability, Statistics, and Random Processes”


Amazon
2014
“Introduction to Statistics and Data Analysis”
With Exercises, Solutions and Applications in R

Publisher / Amazon
2016
“Linear Stochastic Systems”
A Geometric Approach to Modeling, Estimation and Identification

Publisher / Amazon
2015
“Matrix Analysis for Statistics”


Publisher / Amazon
2016
“Modern Statistical Methods for HCI”


Publisher / Amazon
2016
“Permutation Statistical Methods”


Publisher / Amazon
2016
“Poisson Point Processes and Their Application to Markov Processes”


Publisher / Amazon
2015
“Practical Business Statistics”


Publisher / Amazon
2016
“Probability Theory and Statistical Applications”
A Profound Treatise for Self-Study

Publisher / Amazon
2016
“Statistical Analysis and Data Display”
An Intermediate Course with Examples in R

Publisher / Amazon
2015
“Statistical Shape Analysis”
With Applications in R

Publisher / Amazon
2016
“Statistics (The Easier Way) with R”
An informal text on applied statistics

Publisher / Amazon
2015
“Statistics and Causality”
Methods for Applied Empirical Research

Publisher / Amazon
2016
“Statistics for High-Dimensional Data”
Methods, Theory and Applications

Publisher / Amazon
2011
“Statistics for Mathematicians”
A Rigorous First Course

Publisher / Amazon
2016
“Statistics for Non-Statisticians”


Publisher / Amazon
2016
“Statistics from A to Z”
Confusing Concepts Clarified

Publisher / Amazon
2017
“Stochastic Modeling”


Publisher / Amazon
2017
“Taschenbuch der Statistik”


Publisher / Amazon
2008
“Theory of Probability”
A critical introductory treatment

Publisher / Amazon
2017
“Topics in Theoretical and Applied Statistics”


Publisher / Amazon
2016

Aggregation

“A Practical Guide to Averaging Functions”


Publisher / Amazon
2016
“Aggregation Functions”


Publisher / Amazon
2009
“Aggregation Functions”
A Guide for Practitioners

Publisher / Amazon
2008
“Aggregation Functions in Theory and in Practice”


Publisher / Amazon
2018
“Aggregation Functions in Theory and in Practise”
Proceedings of the 7th International Summer School on Aggregation Operators

Publisher / Amazon
2013
“An Introduction to Copulas”


Publisher / Amazon
2007
“An Introduction to Data Analysis using Aggregation Functions in R”


Publisher / Amazon
2016
“Context-Enhanced Information Fusion”
Boosting Real-World Performance with Domain Knowledge

Publisher / Amazon
2016
“Data Fusion in Information Retrieval”


Publisher / Amazon
2012
“Dependence Modeling with Copulas”
Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data

Publisher / Amazon
2014
“Design of Interpretable Fuzzy Systems”


Publisher / Amazon
2017
“Fusion Methodologies in Crisis Management”
Higher Level Fusion and Decision Making

Publisher / Amazon
2016
“Handbook of Means and their Inequalities”


Publisher / Amazon
2009
“Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation”


Publisher / Amazon
2016
“Intuitionistic Fuzzy Information Aggregation”
Theory and Applications

Publisher / Amazon
2012
“Markov Chain Aggregation for Agent-Based Models”


Publisher / Amazon
2016
“Modeling Decisions”
Information Fusion and Aggregation Operators

Publisher / Amazon
2007
“Modeling Decisions for Artificial Intelligence”
Second Internatuional Conference, MDAI 2005

Publisher / Amazon
2008
“Principles of Applied Remote Sensing”


Publisher / Amazon
2016
“Probabilistic Metric Spaces”


Publisher / Amazon
2005
“Risikoaggregation in der Praxis”
Beispiele und Verfahren aus dem Risikomanagement von Unternehmen

Publisher / Amazon
2008

Decision Making

“Advances in Fuzzy Decision Making”
Theory and Practice

Publisher / Amazon
2015
“Business Analytics for Decision Making”


Publisher / Amazon
2016
“Data Quality and its Impacts on Decision-Making”
How Managers can benefit from Good Data

Publisher / Amazon
2015
“Decision Diagrams for Optimization”


Publisher / Amazon
2016
“Decision Making and Modelling in Cognitive Science”


Publisher / Amazon
2016
“Decision Making and Problem Solving”


Publisher / Amazon
2016
“Decision Procedures”
An Algorithmic Point of View

Publisher / Amazon
2016
“Decision Quality”
Value Creation from Better Business Decisions

Publisher / Amazon
2016
“Decision Sciences”
Theory and Practice

Publisher / Amazon
2016
“Fuzzy Statistical Decision-Making”
Theory and Applications

Publisher / Amazon
2016
“Guide to Computational Modelling for Decision Processes”
Theory, Algorithms, Techniques and Applications

Publisher / Amazon
2017
“Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis”


Publisher / Amazon
2016
“Intelligent Decision Making in Quality Management”
Theory and Applications

Publisher / Amazon
2016
“Intelligent Decision-making Models for Production and Retail Operations”


Publisher / Amazon
2016
“Markov Decision Processes in Practice”


Publisher / Amazon
2017
“Multiple Criteria Decision Making”
Applications in Management and Engineering

Publisher / Amazon
2016
“Practical Decision Making”
An Introduction to the Analytic Hierarchy Process (AHP) Using Super Decisions Version 2

Publisher / Amazon
2016
“Real-World Decision Support Systems”
Case Studies

Publisher / Amazon
2016
“Robustness Analysis in Decision Aiding, Optimization, and Analytics”


Publisher / Amazon
2016
“Set Functions, Games and Capacities in Decision Making”


Publisher / Amazon
2016
“Smart Decisions”
The Art of Strategic Thinking for the Decision Making Process

Publisher / Amazon
2016
“Solving Complex Decision Problems”
A Heuristic Process

Publisher / Amazon
2017
“The Manual of Strategic Economic Decision Making”
Using Bayesian Belief Networks to Solve Complex Problems

Publisher / Amazon
2016
“Translating Statistics to Make Decisions”
A Guide for the Non-Statistician

Publisher / Amazon
2017

Mathematics

“Algebra for Applications”
Cryptography, Secret Sharing, Error-Correcting, Fingerprinting, Compression

Publisher / Amazon
2015
“Algorithmic Mathematics”


Publisher / Amazon
2016
“Approximation Methods in Probability Theory”


Publisher / Amazon
2016
“Basic Graph Theory”


Publisher / Amazon
2016
“Brownian Motion, Martingales, and Stochastic Calculus”


Publisher / Amazon
2016
“Consistency of an Information Criterion for High-Dimensional Multivariate Regression”


Publisher / Amazon
2017
“Fundamental Methods of Mathematical Economics”


Publisher / Amazon
2005
“Hierarchical Matrices: Algorithms and Analysis”


Publisher / Amazon
2015
“Intelligent Comparisons: Analytic Inequalities”


Publisher / Amazon
2016
“Interval Analysis and Automatic Result Verification”


Publisher / Amazon
2017
“Introduction to Stochastic Processes with R”


Publisher / Amazon
2016
“Linear Algebra and Matrix Computations for Statistics”


Publisher / Amazon
2014
“Mathematical Statistics”
Basic Ideas and Selected Topics, Volume I

Publisher / Amazon
2015
“Mathematical Statistics”
Basic Ideas and Selected Topics, Volume II

Publisher / Amazon
2015
“Numerical Linear Algebra”


Publisher / Amazon
2008
“Probability Logics”
Probability-Based Formalization of Uncertain Reasoning

Publisher / Amazon
2016
“Quantum Information Theory”
Mathematical Foundation

Publisher / Amazon
2017
“Random Measures, Theory and Applications”


Publisher / Amazon
2017
“Taschenbuch der Wirtschaftsinformatik und Wirtschaftsmathematik”


Publisher / Amazon
2003

Visualization

“35 invaluable books on Data Visualization”


Publisher
1983-2014
“A Guide to Graph Colouring”
Algorithms and Applications

Publisher / Amazon
2016
“Adaptive Semantics Visualization”


Publisher / Amazon
2016
“Blah Blah Blah”
What To Do When Words Don’t Work

Publisher / Amazon
2011
“Building Responsive Data Visualization for the Web”


Publisher / Amazon
2015
“Creating More Effective Graphs”
A succinct and highly readable guide to creating effective graphs

Publisher / Amazon
2013
“Data Points”
Visualization That Means Something

Publisher / Amazon
2013
“Data Visualisation with R”


Publisher / Amazon
2017
“Data Visualization”
Principles and Practice

Publisher / Amazon
2014
“Effective Data Visualization”
The Right Chart for the Right Data

Publisher / Amazon
2016
“Envisioning Information”


Publisher / Amazon
1990
“Graphics of Large Datasets”
Visualizing a Million

Publisher / Amazon
2006
“Handbook of Data Visualization”


Publisher / Amazon
2004
“How to lie with maps”


Publisher / Amazon
1996
“Information Graphics”
How complex ideas can be communicated via graphics

Publisher / Amazon
2012
“Information Theory Tools for Visualization”


Publisher / Amazon
2016
“Information Visualization”
An Introduction

Publisher / Amazon
2014
“Information Visualization”
Perception for Design

Publisher / Amazon
2012
“Interactive Data Visualization”
Foundations, Techniques, and Applications

Publisher / Amazon
2015
“Interactive Graphics for Data Analysis”
Principles and Examples

Publisher / Amazon
2008
“Mashups”
Concepts, Models and Architectures

Publisher / Amazon
2014
“Metric Dashboards for Operations and Supply Chain Excellence”


Publisher / Amazon
2013
“Multidimensional Data Visualization”
Methods and Applications

Publisher / Amazon
2012
“Now You See It: Simple Visualization Techniques for Quantitative Analysis”


Publisher / Amazon
2009
“Picture Your Business Strategy”
Transform Decisions with the Power of Visuals

Publisher / Amazon
2013
“Picturing the Uncertain World”
How to Understand, Communicate, and Control Uncertainty through Graphical Display

Publisher / Amazon
2011
“Pro Data Visualization using R and JavaScript”


Publisher / Amazon
2013
“Show Me the Numbers”


Publisher / Amazon
2012
“Storytelling with Data”
A Data Visualization Guide for Business Professionals

Publisher / Amazon
2015
“The Functional Art”
An introduction to information graphics and visualization

Publisher / Amazon
2012
“The Visual Display of Quantitative Information”


Publisher / Amazon
2001
“Visual Analytics of Movement”


Publisher / Amazon
2013
“Visualization Analysis and Design”


Publisher / Amazon
2014
“Visualization and Verbalization of Data”


Publisher / Amazon
2014
“Visualization of Text Data”


Publisher / Amazon
2017
“Visualization of Time-Oriented Data”


Publisher / Amazon
2011
“Visualize This”
The FlowingData Guide to Design, Visualization, and Statistics

Publisher / Amazon
2011
“Visualizing Financial Data”


Publisher / Amazon
2016
“Visualizing Streaming Data”


Publisher / Amazon
2017

Miscellaneous

“A Certain Uncertainty”
Nature’s Random Ways

Publisher / Amazon
2014
“Accelerating Discovery”
Mining Unstructured Information for Hypothesis Generation

Publisher / Amazon
2015
“Advances in Intelligent Process-Aware Information Systems”
Concepts, Methods, and Technologies

Publisher / Amazon
2017
“Algorithms in a Nutshell”


Publisher / Amazon
2008
“An Introduction to Agent-Based Modeling”
Modeling Natural, Social, and Engineered Complex Systems with NetLogo

Publisher / Amazon
2015
“Anticipating Future Innovation Pathways through Large Data Analysis”


Publisher / Amazon
2016
“Anticipation Across Disciplines”


Publisher / Amazon
2016
“Anticipatory Systems”
Philosophical, Mathematical, and Methodological Foundations

Publisher / Amazon
2012
“Best Matching Theory and Applications”


Publisher / Amazon
2016
“Big Data”
Storage, Sharing, and Security

Publisher / Amazon
2016
“Big Data Applications and Use Cases”


Publisher / Amazon
2016
“Big Data, Little Data, No Data”
Scholarship in the Networked World

Publisher / Amazon
2017
“bookdown”
Authoring Books and Technical Documents with R Markdown

Publisher / Amazon
2016
“Communication Complexity”
for Algorithm Designers

Publisher / Amazon
2016
“Content-Centric Networks”
An Overview, Applications and Research Challenges

Publisher / Amazon
2016
“Corporate Blogs”
Von der Strategie zum lebendigen Dialog

Publisher / Amazon
2013
“Data as a Service”
A Framework for Providing Re-Usable Enterprise Data Services

Publisher / Amazon
2015
“Data Mining for Social Robotics”
Toward Autonomously Social Robots

Publisher / Amazon
2015
“Data Stream Management”
Processing High-Speed Data Streams

Publisher / Amazon
2016
“Description Logics in Multimedia Reasoning”


Publisher / Amazon
2017
“Distributed Simulation”
A Model Driven Engineering Approach

Publisher / Amazon
2016
“Ecological Informatics”


Publisher / Amazon
2017
“Engineering Applications of Soft Computing”


Publisher / Amazon
2017
“Ethical Reasoning in Big Data”
An Exploratory Analysis

Publisher / Amazon
2016
“Exploring the Strategy Space of Negotiating Agents”
A Framework for Bidding, Learning and Accepting in Automated Negotiation

Publisher / Amazon
2016
“Game Theory”
A Multi-Leveled Approach

Publisher / Amazon
2015
“Hagenberg Business Process Modelling Method”


Publisher / Amazon
2016
“Health 4.0”
How Virtualization and Big Data are Revolutionizing Healthcare

Publisher / Amazon
2017
“Implementing Reproducible Research”
How to accurately reproduce a scientific result

Publisher / Amazon
2014
“Instinctive Computing”


Publisher / Amazon
2016
“Intelligent Web Data Management”
Software Architectures and Emerging Technologies

Publisher / Amazon
2016
“Introduction to Intelligent Surveillance”


Publisher / Amazon
2016
“Investing in Information”
The Information Management Body of Knowledge

Publisher / Amazon
2014
“Mathematical Modeling”
Applications with GeoGebra

Publisher / Amazon
2016
“Meaning in Dialogue”
An Interactive Approach to Logic and Reasoning

Publisher / Amazon
2016
“Meta-Algorithmics”
Patterns for Robust, Low Cost, High Quality Systems

Publisher / Amazon
2013
“Metadata Application in Digital Repositories and Libraries”
Tools, Systems, and Architecture

Publisher / Amazon
2016
“Monetizing Your Data”
A Guide to Turning Data into Profit-Driving Strategies and Solutions

Publisher / Amazon
2017
“Nature-Inspired Computing and Optimization”
Theory and Applications

Publisher / Amazon
2017
“Neural Connectomics Challenge”


Publisher / Amazon
2017
“New Approaches in Intelligent Control”
Techniques, Methodologies and Applications

Publisher / Amazon
2016
“Principles of Noology”
Toward a Theory and Science of Intelligence

Publisher / Amazon
2016
“Private Data and Public Value”
Governance, Green Consumption, and Sustainable Supply Chains

Publisher / Amazon
2016
“Quantum Machine Learning”
What Quantum Computing Means to Data Mining

Publisher / Amazon
2016
“Real Time Modeling, Simulation and Control of Dynamical Systems”


Publisher / Amazon
2016
“Reliability Assessments”
Concepts, Models, and Case Studies

Publisher / Amazon
2016
“SAP HANA Interview Questions You’ll Most Likely Be Asked”


Publisher / Amazon
2013
“Self-Aware Computing Systems”


Publisher / Amazon
2017
“Self-Repair Networks”
A Mechanism Design

Publisher / Amazon
2016
“Simulation for Applied Graph Theory Using Visual C++”


Publisher / Amazon
2016
“Simulation stochastischer Systeme”
Eine anwendungsorientierte Einführung

Publisher / Amazon
2016
“Sublinear Algorithms for Big Data Applications”


Publisher / Amazon
2015
“The Algorithm Design Manual”


Publisher / Amazon
2011
“The Art of Community”
Building the New Age of Participation

Publisher / Amazon
2012
“The Data Industry”
The Business and Economics of Information and Big Data

Publisher / Amazon
2016
“The Master Algorithm”
How the Quest for the Ultimate Learning Machine Will Remake Our World

Publisher / Amazon
2015
“The Science of Innovation”
A Comprehensive Approach for Innovation Management

Publisher / Amazon
2016
“The Society of Mind”


Amazon
1988
“The Theory That Would Not Die”
How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

Publisher / Amazon
2012
“Uncertainty”
The Soul of Modeling, Probability & Statistics

Publisher / Amazon
2016
“What Algorithms Want”
magination in the Age of Computing

Publisher / Amazon
2017
“What To Do When Machines Do Everything”
How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data

Publisher / Amazon
2017
“Winning with Data”
Transform Your Culture, Empower Your People, and Shape the Future

Publisher / Amazon
2016

Data Management

“Beginning Neo4j”


Publisher / Amazon
2015
“Beginning SQL Server R Services”
Analytics for Data Scientists

Publisher / Amazon
2016
“Beyond Databases, Architectures and Structures”
Advanced Technologies for Data Mining and Knowledge Discovery

Publisher / Amazon
2016
“Big Data 2.0 Processing Systems”
A Survey

Publisher / Amazon
2016
“Big Data in Complex and Social Networks”


Publisher / Amazon
2016
“Big Data Management”


Publisher / Amazon
2016
“Big Data SMACK”
A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Publisher / Amazon
2016
“Big Graph Analytics Platforms”


Publisher / Amazon
2017
“Building Intelligent Information Systems Software”
Introducing the Unit Modeler Development Technology

Publisher / Amazon
2015

18124

“Complete Guide to Open Source Big Data Stack”


Publisher / Amazon
2017

Data Management

“Data Privacy”
Foundations, New Developments and the Big Data Challenge

Publisher / Amazon
2017
“Handbook of Big Data Technologies”


Publisher / Amazon
2017
“Healthcare and Big Data”
Digital Specters and Phantom Objects

Publisher / Amazon
2016
“Practical Hadoop Ecosystem”
A Definitive Guide to Hadoop-Related Frameworks and Tools

Publisher / Amazon
2016
“Practical Hadoop Migration”
How to Integrate Your RDBMS with the Hadoop Ecosystem and Re-Architect Relational Applications to NoSQL

Publisher / Amazon
2016
“Pro Spark Streaming”
The Zen of Real-Time Analytics Using Apache Spark

Publisher / Amazon
2016
“Professional Hadoop”


Publisher / Amazon
2016
“Resource Management for Big Data Platforms”
Algorithms, Modelling, and High-Performance Computing Techniques

Publisher / Amazon
2016
“Scalable Big Data Architecture”
A practitioners guide to choosing relevant Big Data architecture

Publisher / Amazon
2016
“Secure Data Deletion”


Publisher / Amazon
2016
“Spark”
Big Data Cluster Computing in Production

Publisher / Amazon
2016
“Spatio-Temporal Data Streams”


Publisher / Amazon
2016
“SQL on Big Data”
Technology, Architecture, and Innovation

Publisher / Amazon
2016
“The Data and Analytics Playbook”
Proven Methods for Governed Data and Analytic Quality

Publisher / Amazon
2016
“Traffic Measurement for Big Network Data”


Publisher / Amazon
2016
“Web Application Development with R Using Shiny”


Publisher / Amazon
2013

Internet of Things

“Big Data Analytics for Sensor-Network Collected Intelligence”


Publisher / Amazon
2017
“Big-Data Analytics for Cloud, IoT and Cognitive Computing”


Publisher / Amazon
2017
“Cognitive (Internet of) Things”
Collaboration to Optimize Action

Publisher / Amazon
2016
“Internet of Things and Big Data Technologies for Next Generation Healthcare”


Publisher / Amazon
2017
“Pervasive Computing”
Next Generation Platforms for Intelligent Data Collection

Publisher / Amazon
2016
“Practical Internet of Things for Beginners”
IoT Projects with Realsense, Azure, Arduino, and Intel Edison

Publisher / Amazon
2017
“Sequential Learning and Decision-Making in Wireless Resource Management”


Publisher / Amazon
2016
“Wisdom Web of Things”


Publisher / Amazon
2016

BI

“Adaptive Business Intelligence Systeme”
Theorie, Modellierung und Implementierung

Publisher / Amazon
2012
“Integrated Reporting”
A New Accounting Disclosure

Publisher / Amazon
2016
“Integrated Reporting”
Grundlagen, Implementierung, Praxisbeispiele

Publisher / Amazon
2016
“Multidimensional Views on Enterprise Information Systems”
Proceedings of ERP Future 2014

Publisher / Amazon
2016
“PowerPivot for Business Intelligence Using Excel and Sharepoint”
Business Intelligence Solutions for the Desktop

Publisher / Amazon
2011
“Reporting and Analysis with SAP BusinessObjects”


Publisher / Amazon
2011
“The Analytical Puzzle”
Profitable Data Warehousing, Business Intelligence and Analytics

Publisher / Amazon
2012
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1 thought on “Books”

  1. shankar prawesh said:

    A great collection for data scientists and researchers!

    Like

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