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  • 标题:エージェントによるデータベースからのルール抽出法( ソフトサイエンス)
  • 本地全文:下载
  • 作者:Mina RYOKE ; Yoshiteru NAKAMORI
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2004
  • 卷号:16
  • 期号:1
  • 页码:60-69
  • DOI:10.3156/jsoft.16.60
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:This paper proposes an agent-based rule extraction method from mixed database. In the database, some heterogeneous structures are often included together. In addition, some symbolic attributes and some numerical attributes are often stored together in the databases. The proposed agent has a role for collecting data objects and detecting a local rule, based on a similarity and identified sets. The interaction between the agents focuses on squabbling about objects. % considering attributes. The agent identifies an if-then rule based on the collected data. The consequence of the obtained rule is changed by the agent, depending on the condition.
  • 关键词:Agent ; mixed database ; rule extraction
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