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Volumn 3171, Issue , 2004, Pages 296-306

Learning with class skews and small disjuncts

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 35048878309     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28645-5_30     Document Type: Article
Times cited : (60)

References (18)
  • 3
    • 0002448383 scopus 로고
    • Concept Learning and the Problem of Small Disjuncts
    • Holte, R.C., Acker, L.E., Porter, B.W.: Concept Learning and the Problem of Small Disjuncts. In: IJCAI. (1989) 813-818
    • (1989) IJCAI. , pp. 813-818
    • Holte, R.C.1    Acker, L.E.2    Porter, B.W.3
  • 4
    • 0002949285 scopus 로고
    • The problem with Noise and Small Disjuncts
    • Weiss, G.M.: The problem with Noise and Small Disjuncts. In: ICML. (1988) 574-578
    • (1988) ICML. , pp. 574-578
    • Weiss, G.M.1
  • 5
    • 0002364921 scopus 로고    scopus 로고
    • A Hybrid Decision Tree/Genetic Algorithm for Coping with the Problem of Small Disjuncts in Data Mining
    • Carvalho, D.R., Freitas, A.A.: A Hybrid Decision Tree/Genetic Algorithm for Coping with the Problem of Small Disjuncts in Data Mining. In: Genetic and Evolutionary Computation Conference. (2000) 1061-1068
    • (2000) Genetic and Evolutionary Computation Conference. , pp. 1061-1068
    • Carvalho, D.R.1    Freitas, A.A.2
  • 14
    • 0032645080 scopus 로고    scopus 로고
    • An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
    • Bauer, E., Kohavi, R.: An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning 36 (1999) 105-139
    • (1999) Machine Learning , vol.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 15
    • 1442275185 scopus 로고    scopus 로고
    • Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
    • Weiss, G.M., Provost, F.: Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction. JAIR 19 (2003) 315-354
    • (2003) JAIR , vol.19 , pp. 315-354
    • Weiss, G.M.1    Provost, F.2
  • 16
    • 27144531570 scopus 로고    scopus 로고
    • A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data
    • (to appear).
    • Batista, G.E.A.P.A., Prati, R.C., Monard, M.C.: A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data. SIGKDD Explorations 6 (2004) (to appear).
    • (2004) SIGKDD Explorations , vol.6
    • Batista, G.E.A.P.A.1    Prati, R.C.2    Monard, M.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.