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Handbook of Statistical Analysis and Data Mining Applications
book

Handbook of Statistical Analysis and Data Mining Applications

by Robert Nisbet, John Elder, Gary Miner
May 2009
Beginner to intermediate content levelBeginner to intermediate
864 pages
23h 13m
English
Elsevier Science
Content preview from Handbook of Statistical Analysis and Data Mining Applications
Chapter 8

Advanced Algorithms for Data Mining

OUTLINE

Preamble

You can perform most general data mining tasks with the basic algorithms presented in Chapter 7. But eventually, you may need to perform some specialized data mining tasks. This chapter describes some advanced algorithms that can “supercharge” your data mining jobs. They include the following:

1. Advanced General-Purpose Machine Learning Algorithms

• Interactive Trees (C&RT or CART, CHAID)

• Boosted Tree Classifiers and Regression

• MARSplines (Multivariate Adaptive Regression Splines)

• Random Forests for Regression and Classification (discussed ...

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Publisher Resources

ISBN: 9780080912035