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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
138 Chapter 3 ClassifiCation learning
The partial decision-tree approach described in Section 3.5 was primar-
ily based on the approach proposed in [Frank 1998]. [Skomorokhov 2000]
dealt with classification trees in APL, whereas [Buja 2001] focused on tree-
based regression and classification. [Sattler 2001], [Ankerst 1999], and [Ding
2002] discuss the decision-tree classification method, whereas [Stern 2004]
deals with a classification tree analysis. Application of the data classification
method to fraud detection is found in [Phua 2004] and [Bonchi 1999].
3.9 CHAPTER BIBLIOGRAPHY
[Ankerst 1999] Mihael Ankerst, Christian Elsen, Martin Ester, and Hans-Peter Krie-
gel: “Visual classification: an interactive approach to decision tree construction, ...
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Publisher Resources

ISBN: 9780763785871