Corpus ID: 13573655

Discover Probabilistic Knowledge from Databases Using Evolutionary Computation and Minimum Description Length Principle

@inproceedings{Lam2006DiscoverPK,
  title={Discover Probabilistic Knowledge from Databases Using Evolutionary Computation and Minimum Description Length Principle},
  author={Wai Lam and M. Wong and K. Leung and Po Shun Ngan},
  year={2006}
}

• Wai Lam, M. Wong, +1 author Po Shun Ngan
• Published 2006

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 integrates a MDL metric founded on information theory and several new genetic operators including structure-guided operators, a knowledge-guided operator, a freeze operator, and a defrost operator for the discovery process. In contrast, existing techniques based on genetic algorithms (GA) only adopt classical genetic… Expand

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