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Volumn 3721 LNAI, Issue , 2005, Pages 453-461

Evaluating the correlation between objective rule interestingness measures and real human interest

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CORRELATION METHODS; DATA ACQUISITION; DATABASE SYSTEMS; REAL TIME SYSTEMS;

EID: 33646399714     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_45     Document Type: Conference Paper
Times cited : (41)

References (9)
  • 1
    • 17444405976 scopus 로고    scopus 로고
    • Evaluating six candidate solutions for the small-disjunct problem and choosing the best solution via meta learning
    • Carvalho, D.R.; Freitas, A.A. Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta Learning. AI Review 24(1), 61-98, 2005
    • (2005) AI Review , vol.24 , Issue.1 , pp. 61-98
    • Carvalho, D.R.1    Freitas, A.A.2
  • 4
    • 84942772223 scopus 로고    scopus 로고
    • Exception rule mining with a relative interestingness measure
    • PAKDD-2000. Springer-Verlag
    • Hussain, F.; Liu, H.; Lu, H. Exception Rule Mining with a Relative Interestingness Measure. PAKDD-2000, LNAI 1805, 86-96. Springer-Verlag.
    • LNAI , vol.1805 , pp. 86-96
    • Hussain, F.1    Liu, H.2    Lu, H.3
  • 7
    • 0242625291 scopus 로고    scopus 로고
    • Selecting the right interestingness measure for association patterns
    • ACM Press
    • Tan, P.N.; Kumar, V. and Srivastava, J. Selecting the right interestingness measure for association patterns. Proc. ACM SIGKDD KDD-2002. ACM Press, 2002
    • (2002) Proc. ACM SIGKDD KDD-2002
    • Tan, P.N.1    Kumar, V.2    Srivastava, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.