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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Incremental concept formation approach to learn and discover from a clinical database


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66540


    Title: Incremental concept formation approach to learn and discover from a clinical database
    Authors: Soo, Von-Wun;Wang, Jan-Sing;Wang, Shih-Pu
    教師: 蘇豐文
    Date: 1994
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Neural Networks,1994.IEEE World Congress on Computational Intelligence,1994 IEEE International Conference,Volume 5,27 June-2 July 1994,Pages 2973-2978
    Keywords: Membership functions
    Computer simulation
    Knowledge based systems
    Hierarchical systems
    Medical computing
    Learning systems
    Database systems
    Abstract: The main interest of this research is to discover clinical implications from a large PTCA (Percutaneous Transluminal Coronary Angioplasty) database. A case-based concept formation model D-UNIMEM, modified from Lebowitz's UNIMEM, is proposed for this purpose. In this model, we integrated two kinds of class membership and the index-conjunction class membership. The former is a polythetic clustering approach that serves at the early stage of concept formation. The latter that allows only relevant instances to be placed in the same cluster serves as the later stage of concept formation. D-UNIMEM could extract interesting correlation among features from the learned concept hierarchy.
    URI: http://www.ieee.org/
    http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/66540
    Appears in Collections:[資訊工程學系] 會議論文

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