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Volume 7 Issue 3
July  1992
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Chen Shifu, Chen Bin, Pan Jingui. ICAS: An Incremental Concept Acquisition System Using Attribute-Based Description[J]. Journal of Computer Science and Technology, 1992, 7(3): 284-288.
Citation: Chen Shifu, Chen Bin, Pan Jingui. ICAS: An Incremental Concept Acquisition System Using Attribute-Based Description[J]. Journal of Computer Science and Technology, 1992, 7(3): 284-288.
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ICAS: An Incremental Concept Acquisition System Using Attribute-Based Description

  • Computer Science Department Nanjing University Nanjing;

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  • Published Date: July 09, 1992
    Abstract
  • ICAS is an incremental concept acquisition system using attribute-based description. It includes an algorithm for learning concept, which induces a rule set from an example set based on the probability theory, and an algorithm for refining the rule set. This paper also introduces the learning cycles, a very useful idea of ICAS. In fact, concept acquisition by ICAS is an incremental process consisting of many such learning cycles. Also the design and implementation of ICAS are given.
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    • References (3)
  • [1]
    J.Hong, AE1: An Extension Matrix Approximate Method for the General Covering Problem. Intl. J.of Computer and Information Science, 1985, 14 (6).
    [2]
    Quinlan, J.R., Learning Efficient Classification Procedures and Their Application to Chess and Games. In "Machine Learning: An Artificial Intelligence Approach", R.S.Michalski, J.G.Carbonell and T.M.Mitchell, editors, Palo Alto, CA: Tioga Press, 1983, 463-482.
    [3]
    Mitchalski, R.S., A Theory and Methodology of Inductive Learning. In "Machine Learning:An Artificial InteDigence Approach", R.S., Michalski, J.G.Carbonell and T.M. Mitchell, editors, Palo Alto, CA: Tioga Press, 1983, 83-124. ………..
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