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Volumn 3518 LNAI, Issue , 2005, Pages 240-248

Considering re-occurring features in associative classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS;

EID: 26944473200     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11430919_30     Document Type: Conference Paper
Times cited : (14)

References (10)
  • 3
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • Li, W., Han, J., Pei J.: CMAR: Accurate and efficient classification based on multiple class-association rules. IEEE International Conference on Data Mining, (2001)
    • (2001) IEEE International Conference on Data Mining
    • Li, W.1    Han, J.2    Pei, J.3
  • 5
    • 57649210728 scopus 로고    scopus 로고
    • Mining multi-level rules with recurrent items using FP'-tree
    • Ong K.-L., Ng, W.-K., Lim, E.-P., Mining Multi-Level Rules with Recurrent Items Using FP'-Tree, ICICS (2001)
    • (2001) ICICS
    • Ong, K.-L.1    Ng, W.-K.2    Lim, E.-P.3
  • 7
    • 84883415528 scopus 로고    scopus 로고
    • UCI repository, http://www.ics.uci.edu/~mlearn/MLRepository.html
    • UCI Repository
  • 8
    • 26944466900 scopus 로고    scopus 로고
    • WAR: Weighted association rules for item intensities
    • 2204
    • Wang, W., Yang, J., Yu, P., WAR: Weighted Association Rules for Item Intensities, Knowledge and Information Systems, vol. 6, (2204) 203-229
    • Knowledge and Information Systems , vol.6 , pp. 203-229
    • Wang, W.1    Yang, J.2    Yu, P.3
  • 10
    • 0033901934 scopus 로고    scopus 로고
    • Mining recurrent items in multimedia with progressive resolution refinement
    • Zaïane, O. R., Han, J., Zhu, H. Mining recurrent items in multimedia with progressive resolution refinement. In Int. Conf. on Data Engineering, (2000) 461-470
    • (2000) Int. Conf. on Data Engineering , pp. 461-470
    • Zaïane, O.R.1    Han, J.2    Zhu, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.