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文章基本信息

  • 标题:Improvement of CB & BC Algorithms (CB* Algorithm) for Learning Structure of Bayesian Networks as Classifier in Data Mining
  • 作者:Benhard Sitohang ; G. A. Putri Saptawati
  • 期刊名称:Journal of ICT Research and Applications
  • 印刷版ISSN:2337-5787
  • 电子版ISSN:2338-5499
  • 出版年度:2007
  • 卷号:1
  • 期号:1
  • 页码:29-41
  • 语种:English
  • 出版社:Institut Teknologi Bandung
  • 其他摘要:There are two categories of well-known approach (as basic principle of classification process) for learning structure of Bayesian Network (BN) in data mining (DM): scoring-based and constraint-based algorithms. Inspired by those approaches, we present a new CB* algorithm that is developed by considering four related algorithms: K2, PC, CB, and BC. The improvement obtained by our algorithm is derived from the strength of its primitives in the process of learning structure of BN. Specifically, CB* algorithm is appropriate for incomplete databases (having missing value), and without any prior information about node ordering.
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