Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks

Authors:
Man Leung Wong;Wai Lam;Kwong Sak Leung
Affiliations:
Lingnan College, Tuen Mun, Hong Kong;Chinese Univ. of Hong Kong, Shatin, Hong Kong;Chinese Univ. of Hong Kong, Shatin, Hong Kong
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1999

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Abstract

We have developed a new approach (MDLEP) to learning Bayesian network structures based on the Minimum Description Length (MDL) principle and Evolutionary Programming (EP). It employs a MDL metric, which is founded on information theory, and integrates a knowledge-guided genetic operator for the optimization in the search process.