Toward knowledge-driven spiral discovery of exception rules

Yuu Yamada, Einoshin Suzuki

Research output: Contribution to journalConference article

Abstract

In this paper, we report our preliminary endeavor for spiral discovery of exception rules based on discovered pieces of knowledge. An exception rule, which represents a deviational pattern to a general rule, exhibits unexpectedness and is sometimes extremely useful. We have proposed a domain-independent approach for simultaneous discovery of exception rules and their general rules. Exceptions were always interesting to discoverers, as they challenged the existing knowledge and often led to the growth of knowledge in new directions. We propose a discovery method which exploits pre-discovered pairs of exception rules and their general rules, and apply it to a benchmark data set in knowledge discovery.

Original languageEnglish
Pages (from-to)872-877
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
Volume2
Publication statusPublished - Dec 31 2002
Event2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States
Duration: May 12 2002May 17 2002

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data mining
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All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Toward knowledge-driven spiral discovery of exception rules. / Yamada, Yuu; Suzuki, Einoshin.

In: IEEE International Conference on Fuzzy Systems, Vol. 2, 31.12.2002, p. 872-877.

Research output: Contribution to journalConference article

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