Pattern Sequence based Forecasting (PSF) google
This paper discusses about PSF, an R package for Pattern Sequence based Forecasting (PSF) algorithm used for univariate time series future prediction. The PSF algorithm consists of two major parts: clustering and prediction techniques. Clustering part includes selection of cluster size and then labeling of time series data with reference to various clusters. Whereas, the prediction part include functions like optimum window size selection for specific patterns and prediction of future values with reference to past pattern sequences. The PSF package consists of various functions to implement PSF algorithm. It also contains a function, which automates all other functions to obtain optimum prediction results. The aim of this package is to promote PSF algorithm and to ease its implementation with minimum efforts. This paper describe all the functions in PSF package with their syntax and simple examples. Finally, the usefulness of this package is discussed by comparing it with auto.arima, a well known time series forecasting function available on CRAN repository. …

Spinnaker google
Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. …

Spreadmart google
A spreadmart (spreadsheet data mart) is a situation in which a company’s employees has inconsistent views of corporate data because each department relies on the data from their own spreadsheets. …

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