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.
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Leonard, M. J., Lee, J. S., Lee, T., and Elsheimer, D. B. (2008). “An Introduction to Similarity Analysis Using SAS.” In Proceedings of the SAS Global Forum 2008 Conference. Cary, NC: SAS Institute Inc. http://www2.sas.com/proceedings/forum2008/319-2008.pdf.
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Leonard, M. J., and Wolfe, B. L. (2005). “Mining Transactional and Time Series Data.” In Proceedings of the Thirtieth Annual SAS Users Group International Conference. Cary, NC: SAS Institute Inc. http://www2.sas.com/proceedings/sugi30/080-30.pdf.
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Pyle, D. (1999). Data Preparation for Data Mining. San Francisco: Morgan Kaufmann.
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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.