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Volumn 5, Issue 3-4, 2011, Pages 149-182

Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm

Author keywords

Ant Colony Optimization (ACO); Classification; Data mining; Multipheromone; Stubborn Ants

Indexed keywords

ANT COLONIES; ANT-COLONY OPTIMIZATION; CLASSIFICATION RULE DISCOVERY; CLASSIFICATION RULES; DATA SETS; EMPIRICAL RESULTS; HIGH QUALITY; LOW QUALITIES; MULTIPHEROMONE; PREDICTIVE ACCURACY; RULE SET; STUBBORN ANTS;

EID: 82355186008     PISSN: 19353812     EISSN: 19353820     Source Type: Journal    
DOI: 10.1007/s11721-011-0057-9     Document Type: Article
Times cited : (48)

References (27)
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    • Dorigo, M.1    Stützle, T.2
  • 10
    • 33846315430 scopus 로고    scopus 로고
    • Simultaneous ant colony optimization algorithms for learning linguistic fuzzy rules
    • A. Agraham, C. Grosan, and V. Ramos (Eds.), Berlin: Springer
    • Galea, M., & Shen, Q. (2006). Simultaneous ant colony optimization algorithms for learning linguistic fuzzy rules. In A. Agraham, C. Grosan, & V. Ramos (Eds.), Swarm intelligence in data mining (pp. 75-99). Berlin: Springer.
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  • 17
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    • cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes
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    • Otero, F., Freitas, A., & Johnson, C. G. (2008). cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes. In Lecture notes in computer science: Vol. 5217. Ant colony optimization and swarm intelligence (Proc. ANTS'08) (pp. 48-59). Heidelberg: Springer.
    • (2008) Ant Colony Optimization and Swarm Intelligence (Proc. ANTS'08) , vol.5217 , pp. 48-59
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.