-
2
-
-
0346586663
-
SMOTE: Synthetic minority oversampling technique
-
N. V. Chawla, L. O. Hall, K. W. Bowyer, and W. P. Kegelmeyer,"SMOTE: Synthetic Minority Oversampling Technique," Journal of Artificial Intelligence Research, vol. 16, pp. 321-357, 2002.
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, pp. 321-357
-
-
Chawla, N.V.1
Hall, L.O.2
Bowyer, K.W.3
Kegelmeyer, W.P.4
-
6
-
-
1942482070
-
SMOTE: Synthetic minority over-sampling technique
-
National Center for Software Technology, Mumbai, India, Allied Press
-
N. Chawla, K. Bowyer, L. Hall, and P. Kegelmeyer,"SMOTE: Synthetic Minority Over-sampling Technique," In International Conference of Knowledge Based Computer Systems, National Center for Software Technology, Mumbai, India, Allied Press, pp. 46-57, 2000.
-
(2000)
International Conference of Knowledge Based Computer Systems
, pp. 46-57
-
-
Chawla, N.1
Bowyer, K.2
Hall, L.3
Kegelmeyer, P.4
-
7
-
-
33745855879
-
Many are better than one: Improving probabilistic estimates from decision trees
-
N. V. Chawla, Many are better than one: Improving probabilistic estimates from decision trees. In Machine Learning Challenges. pp. 41-55, 2006.
-
(2006)
Machine Learning Challenges
, pp. 41-55
-
-
Chawla, N.V.1
-
8
-
-
84864389608
-
Efficient weighted voting random subspace support vector machine for high-dimensional classification
-
H. Y. Huang, Y. W. Cheng, Efficient Weighted Voting Random Subspace Support Vector Machine for High-Dimensional Classification. Adv. Sci. Lett. vol. 8, pp. 354-359, 2012.
-
(2012)
Adv. Sci. Lett
, vol.8
, pp. 354-359
-
-
Huang, H.Y.1
Cheng, Y.W.2
-
9
-
-
0030211964
-
Bagging predictors
-
L. Breiman,"Bagging predictors," Machine Learning, vol. 24, pp. 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
10
-
-
0035478854
-
Random forests
-
L. Breiman,"Random forests," Machine Learning, vol. 45, pp. 5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
11
-
-
0031211090
-
A decision-theoretic generalization of online learning and an application to boosting
-
Y. Freund, R. E. Schapire,"A decision-theoretic generalization of online learning and an application to boosting," J. Comput. Syst. Sci. vol. 55, 119-139, 1997.
-
(1997)
J. Comput. Syst. Sci
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
12
-
-
20444392475
-
-
Technical Report 666, Department of Statistics, University of California at Berkeley
-
C. Chen, A. Liaw and L. Breiman," Using random forest to learn imbalanced data," Technical Report, No. 666, Department of Statistics, University of California at Berkeley, 2004.
-
(2004)
Using Random Forest to Learn Imbalanced Data
-
-
Chen, C.1
Liaw, A.2
Breiman, L.3
-
13
-
-
34547673383
-
Cost-sensitive boosting for classification of imbalanced data
-
Y. Sun, M. S. Kamela, A. K.C. Wong, Y. Wang, Cost-sensitive boosting for classification of imbalanced data. Pattern Recognition, vol. 40, pp. 3358-3378, 2007.
-
(2007)
Pattern Recognition
, vol.40
, pp. 3358-3378
-
-
Sun, Y.1
Kamela, M.S.2
Wong, A.K.C.3
Wang, Y.4
-
14
-
-
0032139235
-
The random subspace method for constructing decision forests
-
T. K. Ho,"The Random subspace method for constructing decision forests," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, pp. 832-844, 1998.
-
(1998)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.20
, pp. 832-844
-
-
Ho, T.K.1
-
15
-
-
78649934709
-
-
Irvine, CA: University of California School of Information and Computer Science
-
Frank, A. & Asuncion, A, UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
-
Asuncion, A, UCI Machine Learning Repository
-
-
Frank, A.1
-
16
-
-
58349092517
-
Knowledge discovery on RFM model using Bernoulli sequence
-
I. C. Yeh, K. J. Yang, T. M. Ting,"Knowledge discovery on RFM model using Bernoulli sequence," Expert Systems with Applications, vol. 36(3), pp. 5866-5871, 2009.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 5866-5871
-
-
Yeh, I.C.1
Yang, K.J.2
Ting, T.M.3
-
17
-
-
9444297357
-
SMOTEBoost: Improving prediction of the minority class in boosting
-
Cavtat-Dubrovnik Croatia September
-
N. V. Chawla, A. Lazarevic, L. O. Hall and K. W. Bowyer,"SMOTEBoost: Improving Prediction of the Minority Class in Boosting," in 7th European Conference on Principles and Practice of Knowledge Discovery in Databases Cavtat-Dubrovnik, Croatia, pp. 107-119, September 2003.
-
(2003)
7th European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 107-119
-
-
Chawla, N.V.1
Lazarevic, A.2
Hall, L.O.3
Bowyer, K.W.4
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