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Volumn , Issue , 2009, Pages 350-355

Mining of attribute interactions using information theoretic metrics

Author keywords

Information theory; Interaction mining

Indexed keywords

ATTRIBUTE INTERACTIONS; CLASS LABELS; DATA MINING METHODS; DATA SETS; FEATURE SELECTION; INFORMATION-THEORETIC METRICS; INTER-DEPENDENCIES; INTERACTION INFORMATION; INTERACTION-MINING; REDUNDANT INFORMATIONS; STATISTICAL INTERACTION; SUPERVISED LEARNING PROBLEMS;

EID: 77951178237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.51     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 1
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  • 2
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  • 5
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    • (1998) Hamilton, New Zealand
    • Hall, M.A.1
  • 8
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information:criteria of max-dependency, maxrelevance, and min-redundancy
    • H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information:criteria of max-dependency, maxrelevance, and min-redundancy, " IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, 2005.
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    • Peng, H.1    Long, F.2    Ding, C.3
  • 10
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  • 11
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  • 12
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  • 15
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    • The feature selection problem: Traditional methods and a new algorithm
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.