Constructing Bayesian networks from association analysis

  • Authors:
  • Ohm Sornil;Sunatashee Poonvutthikul

  • Affiliations:
  • Department of Computer Science, National Institute of Development Administration, Bangkok, Thailand;Department of Computer Science, National Institute of Development Administration, Bangkok, Thailand

  • Venue:
  • PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
  • Year:
  • 2006

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Abstract

This paper presents an automatic Bayesian network construction algorithm where association analysis is employed to guide the construction of network structure. The proposed method is studied in context of data imputation together with a previously proposed technique for automatic Bayesian network construction, Backpropagation neural networks, and two traditional data imputation techniques. The results show that the proposed method performs better or at least as well as does the best of other methods in 84.62% of the cases.