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Volumn , Issue , 2008, Pages 36-41

Multi-label classification based on association rules with application to scene classification

Author keywords

Association rules; Classification; Ensemble; Multi label

Indexed keywords

CLASSIFICATION; CLASSIFICATION ALGORITHMS; CLASSIFICATION BASED ON ASSOCIATION RULES; ENSEMBLE; EXISTING METHODS; MULTI-LABEL; MULTIPLE CLASSES; SCENE CLASSIFICATIONS;

EID: 58349086981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICYCS.2008.524     Document Type: Conference Paper
Times cited : (19)

References (12)
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    • F.D.Comite, R.Gilleron, M.Tommasi, Learning multi-label alternating decision tree from texts and data, in: P. Perner, A. Rosenfeld (Eds.), Lecture Notes in Computer Science 2734, Springer, Berlin, 2003, pp. 35-49.
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  • 6
    • 76649137444 scopus 로고    scopus 로고
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    • A.Elisseeff, J.Weston, A kernel method for multi-labelled classification, in:T. G. Dietterich, S. Becker, Z. G, Advances in Neural Information Processing Systems 14, MIT Press, Cambridge, MA, 2002, pp. 681-687.
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    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
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    • F.A.Thabtah, P.Cowling and Y.H.Peng, MMAC: a new multi-class, multi-label associative classification approach. Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM'04), 2007, pp. 217-224
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    • Multi label neural networks with applications to functional genomics and text categorization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.