1999年
Reproductive process-oriented data mining from interactions between human and complex artifact system
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION
- 巻
- 1715
- 号
- 開始ページ
- 180
- 終了ページ
- 194
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- 出版者・発行元
- SPRINGER-VERLAG BERLIN
This paper presents a method for concept formation of a personal learning apprentice (PLA) system that attempts to capture users' internal conceptual structure by observing interactions between user and system. Current hot topics on techniques of data mining may potentially contribute to the above purpose, but different from the conventional approaches of data mining, we have to consider more about the aspects in which hom the mined knowledge should be used by the human in the consequent processes, not only about what knowledge should be extracted. In this paper we propose such a process-oriented data mining method based upon an idea of soft systems methodologies proposed by P.B. Checkland in 1980's, and we propose an algorithm for its implementation using evolutional computing.
- リンク情報
- ID情報
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- ISSN : 0302-9743
- Web of Science ID : WOS:000089240700015