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An improved algorithm for mining non-redundant interacting feature subsets

  • Chaofeng Sha*
  • , Jian Gong
  • , Aoying Zhou
  • *此作品的通讯作者
  • Fudan University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The application of feature subsets with high order correlation in classification has demonstrates its power in a recent study, where non-redundant interacting feature subsets (NIFS) is defined based on multi-information. In this paper, we re-examine the problem of finding NIFSs. We further improve the upper bounds and lower bounds on the correlations, which can be used to significantly prune the search space. The experiments on real datasets demonstrate the efficiency and effectiveness of our approach.

源语言英语
主期刊名Advances in Data and Web Management - Joint International Conferences, APWeb/WAIM 2009, Proceedings
出版商Springer Verlag
357-368
页数12
ISBN(印刷版)9783642006715
DOI
出版状态已出版 - 2009
活动Joint International Conference on Advances in Data and Web Management, APWeb/WAIM 2009 - Suzhou, 中国
期限: 2 4月 20094 4月 2009

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5446
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议Joint International Conference on Advances in Data and Web Management, APWeb/WAIM 2009
国家/地区中国
Suzhou
时期2/04/094/04/09

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