Wise mining method through ant colony optimization

Yang Jianxiong*, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    This paper proposes an algorithm for data mining named Pheromone-Miner (ant-colony-based data miner). The algorithm is inspired by both researches on the behavior of real ant colonies and data mining concepts as well as principles. The goal of Pheromone-Miner is to extract more exact knowledge from a database. Pheromone-based mining breaks through limitations of other mining approaches. We compare the performance of pheromone-miner with a general semantic miner. The accident causes discovered by ant-miner are considerably more accurate than those discovered by a general semantic miner. In a word, this evolutionary algorithm is suitable for improving the accuracy of data miners.

    本文言語English
    ホスト出版物のタイトルConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    ページ1833-1839
    ページ数7
    DOI
    出版ステータスPublished - 2009
    イベント2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX
    継続期間: 2009 10 112009 10 14

    Other

    Other2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
    CitySan Antonio, TX
    Period09/10/1109/10/14

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 制御およびシステム工学
    • 人間とコンピュータの相互作用

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