-
1
-
-
48649097096
-
Fraud defection for online retail using random forests
-
Technical report. Stanford University
-
J. Altendrof, P. Brende, and L. Lessard. Fraud defection for online retail using random forests. Technical report. Stanford University. 2005.
-
(2005)
-
-
Altendrof, J.1
Brende, P.2
Lessard, L.3
-
2
-
-
48649085439
-
Ensembling classifiers - an application to image data classification from cherenkov telescope experiment
-
P. Boinee, A. Angelis, and G. Foresti. Ensembling classifiers - an application to image data classification from cherenkov telescope experiment. 1EC (Prague), pages 394-398, 2005.
-
(2005)
1EC (Prague)
, pp. 394-398
-
-
Boinee, P.1
Angelis, A.2
Foresti, G.3
-
3
-
-
0035478854
-
Random forests
-
L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
6
-
-
24144464528
-
Good practice in retail credit scorecard assessment
-
D. J. Hand. Good practice in retail credit scorecard assessment. Journal of the Operational Research Society, 56:1109-1117, 2005,
-
(2005)
Journal of the Operational Research Society
, vol.56
, pp. 1109-1117
-
-
Hand, D.J.1
-
8
-
-
48649089002
-
An empirical study of learning from unbalanced data using random forest
-
Patras, Greece, October
-
T. M. Khoshgoftaar, M. Golawala, and J. Van Hulse. An empirical study of learning from unbalanced data using random forest. In Proceedings of 19th IEEE International Conference on Tools with Artificial Intelligence, pages 310-317, Patras, Greece, October 2007.
-
(2007)
Proceedings of 19th IEEE International Conference on Tools with Artificial Intelligence
, pp. 310-317
-
-
Khoshgoftaar, T.M.1
Golawala, M.2
Van Hulse, J.3
-
9
-
-
3543063465
-
Comparative assessment of software quality classification techniques: An empirical case study
-
T. M. Khoshgoftaar and N, Seliya. Comparative assessment of software quality classification techniques: An empirical case study. Empirical Software Engineering Journal, 9(2):229-257, 2004.
-
(2004)
Empirical Software Engineering Journal
, vol.9
, Issue.2
, pp. 229-257
-
-
Khoshgoftaar, T.M.1
Seliya, N.2
-
10
-
-
33645896241
-
Detecting noisy instances with the rule-based classification model
-
T. M. Khoshgoftaar, N. Seliya, and K. Gao, Detecting noisy instances with the rule-based classification model. Intelligent Data Analysis: An International Journal, 9(4):347-364, 2005.
-
(2005)
Intelligent Data Analysis: An International Journal
, vol.9
, Issue.4
, pp. 347-364
-
-
Khoshgoftaar, T.M.1
Seliya, N.2
Gao, K.3
-
11
-
-
84883723652
-
Enhancing software quality estimation using ensemble-classifier based noise filtering
-
T. M. Khoshgoftaar, S. Zhong, and V. Joshi. Enhancing software quality estimation using ensemble-classifier based noise filtering. Intelligent Data Analysis: An International Journal, 6(1):3-27, 2005.
-
(2005)
Intelligent Data Analysis: An International Journal
, vol.6
, Issue.1
, pp. 3-27
-
-
Khoshgoftaar, T.M.1
Zhong, S.2
Joshi, V.3
-
12
-
-
34548277784
-
-
Ph.D. Dissertation, College of Engineering and Mineral Resources. West Virginia University, Morgantown, WV USA, Advised by B. Cukic and E. Harner
-
Y. Ma. An empirical investigation of tree ensembles in biometrics and bioinformatics research. Ph.D. Dissertation, College of Engineering and Mineral Resources. West Virginia University, Morgantown, WV USA, 2007. Advised by B. Cukic and E. Harner.
-
(2007)
An empirical investigation of tree ensembles in biometrics and bioinformatics research
-
-
Ma, Y.1
-
14
-
-
33845782503
-
Data mining static code attributes to learn defect predictors
-
T. Menzies, J. Greenwald, and A. Frank. Data mining static code attributes to learn defect predictors. IEEE Transactions on Software Engineering, 33(1):2-13, 2007.
-
(2007)
IEEE Transactions on Software Engineering
, vol.33
, Issue.1
, pp. 2-13
-
-
Menzies, T.1
Greenwald, J.2
Frank, A.3
-
16
-
-
0035283313
-
Robust classification for imprecise environments
-
F. Provost and T. Fawcett. Robust classification for imprecise environments. Machine Learning, 42:203-231, 2001.
-
(2001)
Machine Learning
, vol.42
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
18
-
-
51949098422
-
-
Ph.D. Dissertation, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL USA, May, Advised by T. M. Khoshgoftaar
-
J. Van Hulse. Data quality in data mining and machine learning. Ph.D. Dissertation, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL USA, May 2007, Advised by T. M. Khoshgoftaar.
-
(2007)
Data quality in data mining and machine learning
-
-
Van Hulse, J.1
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