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Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System

  • Tetsuo Sawaragi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1715)

Abstract

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 how 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.

Keywords

Concept Formation Soft System Methodology Interface Agent Ideal Style Constructive Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Tetsuo Sawaragi
    • 1
  1. 1.Dept. of Precision Eng., Graduate School of Eng.Kyoto UniversityJapan

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