Chapter

Foundations of Data Mining and knowledge Discovery

Volume 6 of the series Studies in Computational Intelligence pp 161-170

Date:

Extraction of Generalized Rules with Automated Attribute Abstraction

  • Yohji ShidaraAffiliated withDivision of Computer Science, Graduate School of Information Science and Technology, Hokkaido University
  • , Mineichi KudoAffiliated withDivision of Computer Science, Graduate School of Information Science and Technology, Hokkaido University
  • , Atsuyoshi NakamuraAffiliated withDivision of Computer Science, Graduate School of Information Science and Technology, Hokkaido University

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Abstract

We propose a novel method for mining generalized rules with high support and confidence. Using our method, we can obtain generalized rules in which the abstraction of attribute values is implicitly carried out without the requirement of additional information such as information on conceptual hierarchies. Our experimental results showed that the obtained rules not only have high support and confidence but also have expressions that are conceptually meaningful.