A two-phase evolutionary algorithm for multiobjective mining of classification rules

Yung Hsiang Chan*, Tsung Che Chiang, Li Chen Fu

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

17 引文 斯高帕斯(Scopus)

摘要

Classification rule mining, addressed a lot in machine learning and statistics communities, is an important task to extract knowledge from data. Most existing approaches do not particularly deal with data instances matched by more than one rule, which results in restricted performance. We present a two-phase multiobjective evolutionary algorithm which first aims at searching decent rules and then takes the rule interaction into account to produce the final rule sets. The algorithm incorporates the concept of Pareto dominance to deal with trade-off relations in both phases. Through computational experiments, the proposed algorithm shows competitive to the state-of-the-art. We also study the effect of a niching mechanism.

原文英語
主出版物標題2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOIs
出版狀態已發佈 - 2010 十二月 1
事件2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, 西班牙
持續時間: 2010 七月 182010 七月 23

出版系列

名字2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

其他

其他2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
國家/地區西班牙
城市Barcelona
期間2010/07/182010/07/23

ASJC Scopus subject areas

  • 計算機理論與數學
  • 應用數學

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