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Data Mining: Concepts and Techniques, 3rd Edition
book

Data Mining: Concepts and Techniques, 3rd Edition

by Jiawei Han, Micheline Kamber, Jian Pei
June 2011
Beginner to intermediate
744 pages
25h 11m
English
Morgan Kaufmann
Content preview from Data Mining: Concepts and Techniques, 3rd Edition

8.3 Bayes Classification Methods

“What are Bayesian classifiers?” Bayesian classifiers are statistical classifiers. They can predict class membership probabilities such as the probability that a given tuple belongs to a particular class.

Bayesian classification is based on Bayes’ theorem, described next. Studies comparing classification algorithms have found a simple Bayesian classifier known as the naïve Bayesian classifier to be comparable in performance with decision tree and selected neural network classifiers. Bayesian classifiers have also exhibited high accuracy and speed when applied to large databases.

Naïve Bayesian classifiers assume that the effect of an attribute value on a given class is independent of the values of the other attributes. ...

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Publisher Resources

ISBN: 9780123814791