International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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An Extended Version of the CPT-based Estimation for Missing Values in Nominal Attributes

  • Ko, Song (School of Computer Science and Engineering, Chung-Ang University) ;
  • Kim, Dae-Won (School of Computer Science and Engineering, Chung-Ang University)
  • Received : 2010.07.28
  • Accepted : 2010.12.10
  • Published : 2010.12.25
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Abstract

The causal network represents the knowledge related to the dependency relationship between all attributes. If the causal network is available, the dependency relationship can be employed to estimate the missing values for improving the estimation performance. However, the previous method had a limitation in that it did not consider the bidirectional characteristic of the causal network. The proposed method considers the bidirectional characteristic by applying prior and posterior conditions, so that it outperforms the previous method.

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References

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