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Volumn 6234 LNCS, Issue , 2010, Pages 167-178

Extensions to the Ant-Miner classification rule discovery algorithm

Author keywords

Ant Colony Optimization (ACO); Ants with Personality; Classification; Data Mining; Stubborn Ants

Indexed keywords

ANT-COLONY OPTIMIZATION; ANTS WITH PERSONALITY; CLASSIFICATION; CLASSIFICATION RULE DISCOVERY; CLASSIFICATION RULES; EMPIRICAL RESULTS; PREDICTIVE ACCURACY; RULE SET; STUBBORN ANTS;

EID: 78049251857     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15461-4_15     Document Type: Conference Paper
Times cited : (15)

References (13)
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    • Parpinelli, R. S., Lopes, H. S., Freitas, A.: Data mining with an ant colony optimization algorithm. IEEE Transactions on Evolutionary Computation 6, 321-332 (2002) (Pubitemid 35032734)
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    • Parpinelli, R.S.1    Lopes, H.S.2    Freitas, A.A.3
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    • Smaldon, J.1    Freitas, A.A.2
  • 13
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    • Classification rule mining with an improved ant colony algorithm
    • AI 2004: Advances in Artificial Intelligence - 17th Australian Joint Conference on Artificial Intelligence, Proceedings
    • Wang, Z., Feng, B.: Classification Rule Mining with an Improved Ant Colony Algorithm. In: Webb, G. I., Yu, X. (eds.) AI 2004. LNCS (LNAI), vol. 3339, pp. 357-367. Springer, Heidelberg (2004) (Pubitemid 41050367)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.