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

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.

[1]  Peter Checkland,et al.  Soft Systems Methodology in Action , 1990 .

[2]  Brian Wilson,et al.  Systems: Concepts, Methodologies, and Applications , 1990 .

[3]  Mark A. Gluck,et al.  Information, Uncertainty and the Utility of Categories , 1985 .

[4]  Janusz Wnek,et al.  Hypothesis-driven constructive induction , 1993 .

[5]  Pattie Maes,et al.  A learning interface agent for scheduling meetings , 1993, IUI '93.

[6]  Edward E. Smith,et al.  Categories and concepts , 1984 .

[7]  Brian Wilson.  Systems: concepts, methodologies, and applications (2nd ed.) , 1990 .

[8]  F. Bartlett,et al.  Remembering: A Study in Experimental and Social Psychology , 1932 .

[9]  Osamu Katai,et al.  Evolutional concept learning from observations through adaptive feature selection and GA-based feature discovery , 1999, J. Intell. Fuzzy Syst..

[10]  William B. Rouse,et al.  The effects of type of knowledge upon human problem solving in a process control task , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Pattie Maes,et al.  Learning Interface Agents , 1993, AAAI.

[12]  Tom M. Mitchell,et al.  A Personal Learning Apprentice , 1992, AAAI.

[13]  William B. Rouse,et al.  PLANT: An experimental task for the study of human problem solving in process control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[15]  L. A. Hermens,et al.  A machine-learning apprentice for the completion of repetitive forms , 1994, IEEE Expert.

[16]  R. Michalski,et al.  Learning from Observation: Conceptual Clustering , 1983 .

[17]  M. S. Mayzner,et al.  Cognition And Reality , 1976 .