Searching for interacting features

Zheng Zhao, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

172 Scopus citations

Abstract

Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, but when it is combined with some other features, they can be strongly correlated with the target concept. Unintentional removal of these features can result in poor classification performance. Handling feature interaction can be computationally intractable. Recognizing the presence of feature interaction, we propose to efficiently handle feature interaction to achieve efficient feature selection and present extensive experimental results of evaluation.

Original languageEnglish (US)
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence
Pages1156-1161
Number of pages6
StatePublished - 2007
Event20th International Joint Conference on Artificial Intelligence, IJCAI 2007 - Hyderabad, India
Duration: Jan 6 2007Jan 12 2007

Other

Other20th International Joint Conference on Artificial Intelligence, IJCAI 2007
CountryIndia
CityHyderabad
Period1/6/071/12/07

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Zhao, Z., & Liu, H. (2007). Searching for interacting features. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1156-1161)