메뉴 건너뛰기




Volumn , Issue , 2011, Pages 130-133

Application of Random-SMOTE on imbalanced data mining

Author keywords

Data mining; Imbalaced data set; Integrated use of random SMOTE and logit

Indexed keywords

DATA MINING TASKS; DATA SETS; IMBALANCED DATA; IMBALANCED DATA SETS; INTEGRATED DATA MINING; INTEGRATED USE OF RANDOM-SMOTE AND LOGIT; OVER SAMPLING; SAMPLE SPACE;

EID: 84862963223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIFE.2011.25     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 1
    • 34547673383 scopus 로고    scopus 로고
    • Cost-sensitive boosting for classification of imbalanced data
    • DOI 10.1016/j.patcog.2007.04.009, PII S0031320307001835
    • Y. Sun, M. Kamela, A. Wong, et al, Cost-Sensitive Boosting for Classification of Imbalanced Data. Pattern Recognilion, 2007, 40 (12): 3358-3378. (Pubitemid 47223287)
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3358-3378
    • Sun, Y.1    Kamel, M.S.2    Wong, A.K.C.3    Wang, Y.4
  • 2
    • 0035391093 scopus 로고    scopus 로고
    • Bankruptcy prediction for credit risk using neural networks: A survey and new results
    • DOI 10.1109/72.935101, PII S1045922701050068
    • A.F. Atiya, Bankruptcy Prediction for Credit Risk Using Neural Network: A Survey and New Results. IEEE Trans on Neural Networks, 2001, 12 (4): 929-935. (Pubitemid 32732830)
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.4 , pp. 929-935
    • Atiya, A.F.1
  • 3
    • 0031998121 scopus 로고    scopus 로고
    • Machine learning for the detection of oil spills in satellite radar images
    • M. Kubat, R. Hohe, S. Matwin, Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Machine Learning, 1998, 30 (2/3): 195-215.
    • (1998) Machine Learning , vol.30 , Issue.2-3 , pp. 195-215
    • Kubat, M.1    Hohe, R.2    Matwin, S.3
  • 4
    • 0001972236 scopus 로고    scopus 로고
    • Addressing the course of imbalanced training sets: One-sided selection
    • M. Kubat, S. Matwin, Addressing the Course of Imbalanced Training Sets: One-sided Selection. ICML, 1997: 179-186.
    • (1997) ICML , pp. 179-186
    • Kubat, M.1    Matwin, S.2
  • 8
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Y. Freund, R.E. Schapire, A Decision Theoretic Generalization of on- Learning and an Application to Boosting. Journal of Computer and System Science,1997, 55(1): 119-139. (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 10
    • 9444297357 scopus 로고    scopus 로고
    • SMOTEBoost: Improving prediction of the minority class in boosting
    • Knowledge Discovery in Databases: PKDD 2003
    • N.V. Chawla, A. Lazarevic, L.O. Hall, Smoteboost: Improving Prediction of the Minority Class in Boosting. Lecture Notes in Computer Science,2003: 107-119. (Pubitemid 37231089)
    • (2003) Lecture Notes in Computer Science , Issue.2838 , pp. 107-119
    • Chawla, N.V.1    Lazarevic, A.2    Hall, L.O.3    Bowyer, K.W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.