The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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DetailsAccumulationMissing Value InterpretationZero Value InterpretationTime Series TransformationTime Series DifferencingTime Series Missing Value TrimmingTime Series Descriptive StatisticsInput and Target SequencesSliding SequencesTime WarpingSequence NormalizationSequence ScalingSimilarity MeasuresUser-Defined Functions and SubroutinesOutput Data SetsOUT= Data SetOUTMEASURE= Data SetOUTPATH= Data SetOUTSEQUENCE= Data SetOUTSUM= Data Set_STATUS_ Variable ValuesPrinted OutputODS Table NamesODS Graphics
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Examples
- References
References
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Barry, M. J. and Linoff, G. S. (1997), Data Mining Techniques: For Marketing, Sales, and Customer Support, New York: John Wiley & Sons.
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Han, J. and Kamber, M. (2001), Data Mining: Concepts and Techniques, San Francisco: Morgan Kaufmann Publishers.
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Leonard, M. J. and Wolfe, B. L. (2005), “Mining Transactional and Time Series Data,” Proceedings of the Thirtieth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.
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Leonard, M. J., Elsheimer, D. B., and Sloan, J. (2008), “An Introduction to Similarity Analysis Using SAS,” Proceedings of the SAS Global Forum 2008 Conference, Cary, NC: SAS Institute Inc.
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Pyle, D. (1999), Data Preparation for Data Mining, San Francisco: Morgan Kaufman Publishers, Inc.
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Sankoff, D. and Kruskal, J. B. (2001), Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison, Stanford, CA: CSLI Publications.