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Volumn 4881 LNCS, Issue , 2007, Pages 287-295

Making class bias useful: A strategy of learning from imbalanced data

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 38549141077     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_30     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 1
    • 0035478854 scopus 로고    scopus 로고
    • Random Forest
    • Breiman, L.: Random Forest. Machine Learning 45, 5-32 (2001)
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 2
    • 27144549260 scopus 로고    scopus 로고
    • Editorial: Special Issue on Learning from Imbalanced Data Sets
    • Chawla, N.V., Japkowicz, N., Kolcz, A.: Editorial: Special Issue on Learning from Imbalanced Data Sets. Sigkdd Explorations 6(1), 1 (2004)
    • (2004) Sigkdd Explorations , vol.6 , Issue.1 , pp. 1
    • Chawla, N.V.1    Japkowicz, N.2    Kolcz, A.3
  • 9
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7), 1145-1159 (1997)
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.