The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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Details
Accumulation Missing Value Interpretation Zero Value Interpretation Time Series Transformation Time Series Differencing Time Series Missing Value Trimming Time Series Descriptive Statistics Input and Target Sequences Sliding Sequences Time Warping Sequence Normalization Sequence Scaling Similarity Measures User-Defined Functions and Subroutines Output Data Sets OUT= Data Set OUTMEASURE= Data Set OUTPATH= Data Set OUTSEQUENCE= Data Set OUTSUM= Data Set STATUS Variable Values Printed Output ODS Table Names ODS Graphics
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Examples
- References
References
Barry, M. J. and Linoff, G. S. (1997), Data Mining Techniques: For Marketing, Sales, and Customer Support, New York: John Wiley & Sons.
Han, J. and Kamber, M. (2001), Data Mining: Concepts and Techniques, San Francisco: Morgan Kaufmann Publishers.
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.
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.
Pyle, D. (1999), Data Preparation for Data Mining, San Francisco: Morgan Kaufman Publishers, Inc.
Sankoff, D. and Kruskal, J. B. (2001), Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison, Stanford, CA: CSLI Publications.