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Practical Applications of Data Mining
book

Practical Applications of Data Mining

by Sang C. Suh
January 2011
Intermediate to advanced
420 pages
12h 32m
English
Jones & Bartlett Learning
Content preview from Practical Applications of Data Mining
400 Appendix dAtA Mining products And ApplicAtions
C lementine
Developer: SPSS Inc. (formerly Integral Solutions, Ltd.) •
URL: www.spss.com/clementine •
Techniques Used: Apriori, BIRCH, CARMA, Decision trees (C5.0, C&RT •
a variation of CART), K-means clustering, neural networks (Kohonen,
MLP, RBFN), regression (linear, logistic) rule induction (C5.0, GRI)
Platforms: HP/UX, IBM AIX, Sun Solaris, Windows NT •
Domain: Any•
Key Benefits: Supports common web usage mining applications•
Special Features: Association rules, classification, clustering, factor analysis, •
forecasting, prediction, sequence discovery
Overview: Perhaps the most unique feature of Clementine is its GUI •
approach to data mining, which Clementine pioneered ...
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Publisher Resources

ISBN: 9780763785871