-
2
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 2 1998 121 167 (Pubitemid 128695475)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
3
-
-
85083464467
-
Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
-
P.K. Chan, and S.J. Stolfo Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection Knowledge Discovery and Data Mining 1998 164 168
-
(1998)
Knowledge Discovery and Data Mining
, pp. 164-168
-
-
Chan, P.K.1
Stolfo, S.J.2
-
5
-
-
9444297357
-
SMOTEBoost: Improving Prediction of the Minority Class in Boosting
-
Knowledge Discovery in Databases: PKDD 2003
-
Chawla, N. V.; Lazarevic, A.; Hall, L. O.; & Bowyer, K. W. (2003). Smoteboost: Improving prediction of the minority class in boosting. In PKDD (pp. 107-119). (Pubitemid 37231089)
-
(2003)
PKDD
, Issue.2838
, pp. 107-119
-
-
Chawla, N.V.1
Lazarevic, A.2
Hall, L.O.3
Bowyer, K.W.4
-
6
-
-
20444392475
-
Using random forest to learn imbalanced data
-
Statistics Department, University of California at Berkeley
-
C. Chen, A. Liaw, and L. Breiman Using random forest to learn imbalanced data Technical report 666 2004 Statistics Department, University of California at Berkeley
-
(2004)
Technical Report 666
-
-
Chen, C.1
Liaw, A.2
Breiman, L.3
-
7
-
-
60249087645
-
Mining the customer credit using hybrid support vector machine technique
-
W. Chen, C. Ma, and L. Ma Mining the customer credit using hybrid support vector machine technique Expert Systems with Applications 36 4 2009 7611 7616
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.4
, pp. 7611-7616
-
-
Chen, W.1
Ma, C.2
Ma, L.3
-
11
-
-
78649934709
-
-
Irvine, CA: University of California, School of Information and Computer Science
-
Frank, A.; & Asuncion, A. (2010). UCI machine learning repository. Irvine, CA: University of California, School of Information and Computer Science. Available from < http://archive.ics.uci.edu/ml >.
-
(2010)
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
14
-
-
27144479454
-
Learning from imbalanced data sets with boosting and data generation: The databoost-im approach
-
H. Guo, and H.L. Viktor Learning from imbalanced data sets with boosting and data generation: The databoost-im approach SIGKDD Explorations 6 1 2004 30 39
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 30-39
-
-
Guo, H.1
Viktor, H.L.2
-
17
-
-
33845536164
-
The class imbalance problem: A systematic study
-
N. Japkowicz, and S. Stephen The class imbalance problem: A systematic study Intelligent Data Analysis 6 5 2002 :429 449
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
18
-
-
0031998121
-
Machine learning for the detection of oil spills in satellite radar images
-
M. Kubat, R.C. Holte, and S. Matwin Machine learning for the detection of oil spills in satellite radar images Machine Learning 30 2-3 1998 195 215
-
(1998)
Machine Learning
, vol.30
, Issue.23
, pp. 195-215
-
-
Kubat, M.1
Holte, R.C.2
Matwin, S.3
-
20
-
-
85161651554
-
Data mining for direct marketing: Problems and solutions
-
Ling, C. X.; & Li, C. (1998). Data mining for direct marketing: Problems and solutions. In: KDD (pp. 73-79).
-
(1998)
KDD
, pp. 73-79
-
-
Ling, C.X.1
Li, C.2
-
22
-
-
0029718295
-
A large-scale evaluation of features for automatic detection of oil spills in ers sar images
-
Solberg, A.; & Solberg, R. (1996). A large-scale evaluation of features for automatic detection of oil spills in ers sar images. In International geoscience and remote sensing symposium (pp. 1484-1486).
-
(1996)
International Geoscience and Remote Sensing Symposium
, pp. 1484-1486
-
-
Solberg, A.1
Solberg, R.2
-
23
-
-
39649105441
-
Author identification: Using text sampling to handle the class imbalance problem
-
DOI 10.1016/j.ipm.2007.05.012, PII S0306457307001197
-
E. Stamatatos Author identification: Using text sampling to handle the class imbalance problem Information Processing & Management 44 2 2008 790 799 (Pubitemid 351288480)
-
(2008)
Information Processing and Management
, vol.44
, Issue.2
, pp. 790-799
-
-
Stamatatos, E.1
-
24
-
-
70350565063
-
On strategies for imbalanced text classification using svm: A comparative study
-
A. Sun, E.-P. Lim, and Y. Liu On strategies for imbalanced text classification using svm: A comparative study Decision Support Systems 48 1 2009 191 201
-
(2009)
Decision Support Systems
, vol.48
, Issue.1
, pp. 191-201
-
-
Sun, A.1
Lim, E.-P.2
Liu, Y.3
-
25
-
-
0023890867
-
Measuring the accuracy of diagnostic systems
-
J.A. Swets Measuring the accuracy of diagnostic systems Science 240 4857 1988 1285 1293
-
(1988)
Science
, vol.240
, Issue.4857
, pp. 1285-1293
-
-
Swets, J.A.1
-
27
-
-
44949084506
-
Classification of weld flaws with imbalanced class data
-
T. Warren Liao Classification of weld flaws with imbalanced class data Expert Systems with Applications 35 3 2008 1041 1052
-
(2008)
Expert Systems with Applications
, vol.35
, Issue.3
, pp. 1041-1052
-
-
Warren Liao, T.1
-
28
-
-
1442275185
-
Learning when training data are costly: The effect of class distribution on tree induction
-
G.M. Weiss, and F.J. Provost Learning when training data are costly: The effect of class distribution on tree induction Journal of Artificial Intelligence Research 19 2003 315 354 (Pubitemid 41525924)
-
(2003)
Journal of Artificial Intelligence Research
, vol.19
, pp. 315-354
-
-
Weiss, G.M.1
Provost, F.2
-
29
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
DOI 10.1023/A:1007626913721
-
D.R. Wilson, and T.R. Martinez Reduction techniques for instance-based learning algorithms Machine Learning 38 3 2000 257 286 (Pubitemid 30572450)
-
(2000)
Machine Learning
, vol.38
, Issue.3
, pp. 257-286
-
-
Randall Wilson, D.1
Martinez, T.R.2
-
31
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
DOI 10.1016/S0004-3702(02)00190-X, PII S000437020200190X
-
Z.-H. Zhou, J. Wu, and W. Tang Ensembling neural networks: Many could be better than all Artificial Intelligence 137 1-2 2002 239 263 (Pubitemid 34405220)
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
|