Data mining tasks and methods: Classification: Bayesian classification

Nir Friedman; Ronny Kohavi

Data mining tasks and methods: Classification: Bayesian classification

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Bayesian classification addresses the classification problem by learning the distribution of instances given different class values. We review the basic notion of Bayesian classification, describe in some detail the naive Bayesian classifier, and briefly discuss some extensions.

Original language	English
Title of host publication	Handbook of Data Mining and Knowledge Discovery
Editors	Willi Klösgen, Jan M. Żytkow
Place of Publication	USA
Publisher	Oxford University Press, Inc.
Chapter	16.1.5
Pages	282–288
Number of pages	7
ISBN (Electronic)	9781410607515, 1410607518
ISBN (Print)	0195118316, 9780195118315
State	Published - 2002

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title = "Data mining tasks and methods: Classification: Bayesian classification",

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PB - Oxford University Press, Inc.

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Data mining tasks and methods: Classification: Bayesian classification

Abstract

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