data mining: opportunities and challenges
Chapter XI - Bayesian Data Mining and Knowledge Discovery
Data Mining: Opportunities and Challenges
by John Wang (ed) 
Idea Group Publishing 2003
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  1. The complete dataset can be found at Delve, a machine learning repository and testing environment located at the University of Toronto, Department of Computer Science. The URL is http://www.cs.toronto.edu/~delve.

  2. The algorithm was coded using S-Plus. The programs are available from the authors.

  3. Recent research has established that the model is not limited to acyclic graphs. Direct or indirect cyclic causality may be included in BBNs.

  4. Once again, the example has been created for illustrative purposes and should not be taken too seriously.

  5. The philosophical debate regarding this approach has been going on for centuries. William of Occam (14th century) was one of the first thinkers to discuss the question of whether simpler hypotheses are better than complicated ones. For this reason, this approach goes by the name of Occam's razor.

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Data Mining(c) Opportunities and Challenges
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
Year: 2003
Pages: 194
Authors: John Wang

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