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Volumn , Issue , 2016, Pages

A bi-directional sampling based on K-means method for imbalance text classification

Author keywords

Class imbalance; Data mining; K means; Text classification

Indexed keywords

DATA MINING; INFORMATION SCIENCE; LEARNING ALGORITHMS; TEXT PROCESSING;

EID: 84987935065     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIS.2016.7550920     Document Type: Conference Paper
Times cited : (76)

References (18)
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    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 1-6
    • Chawla, N.V.1    Japkowicz, N.2    Kotcz, A.3
  • 6
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    • Z.M.Yang, L.Y.Qiao,X.Y.Peng. Research on datamining method for imbalanced dataset based on improved SMOTE [J].ACTA Electronica Sinica, 2007, 35(12): pp.22-26.
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    • Yang, Z.M.1    Qiao, L.Y.2    Peng, X.Y.3
  • 8
    • 27144531570 scopus 로고    scopus 로고
    • A study of the behavior of several methods for balancing machine learning training data
    • G.E.A.P.A.Batista, R.C.Prati, M.C.Monard, A study of the behavior of several methods for balancing machine learning training data, SIGKDD Explorations,2004,6 (1): pp.20-29.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 20-29
    • Batista, G.E.A.P.A.1    Prati, R.C.2    Monard, M.C.3
  • 13
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F.Provost, T.Fawcett.Robust classification for imprecise environments. Machine Learning, 2001,42, pp.203-231.
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 16
    • 84949479983 scopus 로고    scopus 로고
    • Concept-learning in the presence of between-class and within-class imbalances
    • N.Japkowicz, Concept-learning in the presence of between-class and within-class imbalances, in: Artificial Intelligence 201, LNAI 2056, pp.67-77, 2001.
    • (2001) Artificial Intelligence 201, LNAI 2056 , pp. 67-77
    • Japkowicz, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.