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Introduction tostream: An Extensible Frameworkfor data Stream Clustering Research withRMichael HahslerSouthern Methodist UniversityMatthew Bola nosCrederaJohn ForrestMicrosoft CorporationAbstractIn recent years, data streams have become an increasingly important area of researchfor the computer science, database and statistics communities. data streams are orderedand potentially unbounded sequences of data points created by a typically non-stationarydata generating process. Common data mining tasks associated with data streams includeclustering, classification and frequent pattern mining .
Typical statistical and data mining methods (e.g., clustering, regression, classification and frequent pattern mining) work with “static” data sets, meaning that the complete data set is available as a whole to perform all necessary computations.
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