Unified algorithm for undirected discovery of exception rules

Einoshin Suzuki, Jan M. Zytkow

研究成果: Contribution to journalArticle査読

29 被引用数 (Scopus)


This article presents an algorithm that seeks every possible exception rule that violates a commonsense rule and satisfies several assumptions of simplicity. Exception rules, which represent systematic deviation from commonsense rules, are often found interesting. Discovery of pairs that consist of a commonsense rule and an exception rule, resulting from undirected search for unexpected exception rules, was successful in various domains. In the past, however, an exception rule represented a change of conclusion caused by adding an extra condition to the premise of a commonsense rule. That approach formalized only one type of exception and failed to represent other types. To provide a systematic treatment of exceptions, we categorize exception rules into 11 categories, and we propose a unified algorithm for discovering all of them. Preliminary results on 15 real-world datasets provide an empirical proof of effectiveness of our algorithm in discovering interesting knowledge. The empirical results also match our theoretical analysis of exceptions, showing that the 11 types can be partitioned in three classes according to the frequency with which they occur in data.

ジャーナルInternational Journal of Intelligent Systems
出版ステータス出版済み - 7 2005

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • 理論的コンピュータサイエンス
  • 人間とコンピュータの相互作用
  • 人工知能


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