-
2
-
-
0036532641
-
Bayesian neural network learning for repeat purchase modelling in direct marketing
-
Baesens B, Viaene S, van den Poel D, Vanthienen J, Dedene G (2002) Bayesian neural network learning for repeat purchase modelling in direct marketing. European Journal of Operational Research 138(1):191-211
-
(2002)
European Journal of Operational Research
, vol.138
, Issue.1
, pp. 191-211
-
-
Baesens, B.1
Viaene, S.2
Van Den Poel, D.3
Vanthienen, J.4
Dedene, G.5
-
3
-
-
0038209756
-
Benchmarking state-of-the-art classification algorithms for credit scoring
-
Baesens B, van Gestel T, Viaene S, Stepanova M, Suykens J, Vanthienen J (2003) Benchmarking state-of-the-art classification algorithms for credit scoring. Journal of the Operational Research Society 54(6):627-635
-
(2003)
Journal of the Operational Research Society
, vol.54
, Issue.6
, pp. 627-635
-
-
Baesens, B.1
Van Gestel, T.2
Viaene, S.3
Stepanova, M.4
Suykens, J.5
Vanthienen, J.6
-
5
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
Batista G, Prati RC, Monard MC (2004) A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explorations Newsletter 6(1):20-29
-
(2004)
ACM SIGKDD Explorations Newsletter
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.1
Prati, R.C.2
Monard, M.C.3
-
6
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer E, Kohavi R (1999) An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Machine Learning 36(1-2):105-139
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
8
-
-
55949137626
-
Quantitative models for direct marketing: A review from systems perspective
-
Bose I, Xi C (2009) Quantitative models for direct marketing: a review from systems perspective. European Journal of Operational Research 195(1 ):1-16
-
(2009)
European Journal of Operational Research
, vol.195
, Issue.1
, pp. 1-16
-
-
Bose, I.1
Xi, C.2
-
10
-
-
0035478854
-
Random forests
-
Breiman L (2001) Random forests. Machine Learning 45(1 ):5-32
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
11
-
-
58349098976
-
Handling class imbalance in customer churn prediction
-
Burez J, van den Poel D (2009) Handling class imbalance in customer churn prediction. Expert Systems with Applications 36(3):4626-4636
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 4626-4636
-
-
Burez, J.1
Van Den Poel, D.2
-
12
-
-
12244279570
-
Data mining in metric space: An empirical analysis of supervised learning performance criteria
-
Kim W, Kohavi, R, Gehrke, J, DuMouchel W (Hrsg) Seattle
-
Caruana R, Niculescu-Mizil A (2004) Data mining in metric space: an empirical analysis of supervised learning performance criteria. In: Kim W, Kohavi, R, Gehrke, J, DuMouchel W (Hrsg) Proc. 10th ACM SIGKDD intern, conf. on knowledge discovery and data mining, Seattle
-
(2004)
Proc. 10th ACM SIGKDD Intern, Conf. on Knowledge Discovery and Data Mining
-
-
Caruana, R.1
Niculescu-Mizil, A.2
-
14
-
-
0031080885
-
An evaluation of machine-learning methods for predicting pneumonia mortality
-
Cooper GF, Auferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P (1997) An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2):107-138
-
(1997)
Artificial Intelligence in Medicine
, vol.9
, Issue.2
, pp. 107-138
-
-
Cooper, G.F.1
Auferis, C.F.2
Ambrosino, R.3
Aronis, J.4
Buchanan, B.G.5
Caruana, R.6
Fine, M.J.7
Glymour, C.8
Gordon, G.9
Hanusa, B.H.10
Janosky, J.E.11
Meek, C.12
Mitchell, T.13
Richardson, T.14
Spirtes, P.15
-
15
-
-
33744976067
-
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing
-
Crone SF, Lessmann S, Stahlbock R (2006) The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing. European Journal of Operational Research 173 (3):781-800
-
(2006)
European Journal of Operational Research
, vol.173
, Issue.3
, pp. 781-800
-
-
Crone, S.F.1
Lessmann, S.2
Stahlbock, R.3
-
17
-
-
26044433213
-
Predictions in marketing using the support vector machine
-
Cui D, Curry D (2005) Predictions in marketing using the support vector machine. Marketing Science 24(4):595-615
-
(2005)
Marketing Science
, vol.24
, Issue.4
, pp. 595-615
-
-
Cui, D.1
Curry, D.2
-
18
-
-
0028416730
-
Neural networks, decision tree induction and discriminant analysis: An empirical comparison
-
Curram SP, Mingers J (1994) Neural networks, decision tree induction and discriminant analysis: an empirical comparison. Journal of the Operational Research Society 45(4):440-450
-
(1994)
Journal of the Operational Research Society
, vol.45
, Issue.4
, pp. 440-450
-
-
Curram, S.P.1
Mingers, J.2
-
19
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7:1-30
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
20
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
Dietterich TG (2000) An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning 40(2):139-157
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.G.1
-
21
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett T (2006) An introduction to ROC analysis. Pattern Recognition Letters 27(8):861-874
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
-
23
-
-
70349280929
-
An experimental comparison of performance measures for classification
-
Ferri C, Hernández-Orallo J, Modroiu R (2009) An experimental comparison of performance measures for classification. Pattern Recognition Letters 30(1):27-38
-
(2009)
Pattern Recognition Letters
, vol.30
, Issue.1
, pp. 27-38
-
-
Ferri, C.1
Hernández-Orallo, J.2
Modroiu, R.3
-
24
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
Friedman JH (2001) Greedy function approximation: a gradient boosting machine. The Annals of Statistics 29(5):1189-1232
-
(2001)
The Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
26
-
-
33750697973
-
Recent advances in predictive (machine) learning
-
Friedman JH (2006) Recent advances in predictive (machine) learning. Journal of Classification 23(2):175-197
-
(2006)
Journal of Classification
, vol.23
, Issue.2
, pp. 175-197
-
-
Friedman, J.H.1
-
27
-
-
0242288903
-
Benchmarking least squares support vector machine classifiers
-
Gestel T, van, Suykens JAK, Baesens B, Viaene S, Vanthienen J, Dedene G, De Moor B, Vandewalle J (2004) Benchmarking least squares support vector machine classifiers. Machine Learning 54(1):5-32
-
(2004)
Machine Learning
, vol.54
, Issue.1
, pp. 5-32
-
-
Gestel, T.1
Van Suykens, J.A.K.2
Baesens, B.3
Viaene, S.4
Vanthienen, J.5
Dedene, G.6
De Moor, B.7
Vandewalle, J.8
-
28
-
-
77952429243
-
Interessentenmanagement
-
Hippner H, Wilde KD (Hrsg) Aufl. Gabler, Wiesbaden, S.
-
Haas A (2006) Interessentenmanagement. In: Hippner H, Wilde KD (Hrsg) Grundlagen des CRM, 2. Aufl. Gabler, Wiesbaden, S. 443-472
-
(2006)
Grundlagen des CRM
, vol.2
, pp. 443-472
-
-
Haas, A.1
-
29
-
-
27844472191
-
An empirical comparison of ensemble methods based on classification trees
-
Hamza M, Larocque D (2005) An empirical comparison of ensemble methods based on classification trees. Journal of Statistical Computation and Simulation 75(8):629-643
-
(2005)
Journal of Statistical Computation and Simulation
, vol.75
, Issue.8
, pp. 629-643
-
-
Hamza, M.1
Larocque, D.2
-
31
-
-
77952429760
-
Komponenten und Potenziale eines analytischen Customer Relationship Management
-
Chamoni P, Gluchowski P (Hrsg) Aufl. Springer, Heidelberg, S.
-
Hippner H (2006) Komponenten und Potenziale eines analytischen Customer Relationship Management. In: Chamoni P, Gluchowski P (Hrsg) Analytische Informationssysteme, 3. Aufl. Springer, Heidelberg, S. 361-384
-
(2006)
Analytische Informationssysteme
, vol.3
, pp. 361-384
-
-
Hippner, H.1
-
36
-
-
3543063465
-
Comparative assessment of software quality classification techniques: An empirical case study
-
Khoshgoftaar TM, Seliya N (2004) Comparative assessment of software quality classification techniques: an empirical case study. Empirical Software Engineering 9(3):229-257
-
(2004)
Empirical Software Engineering
, vol.9
, Issue.3
, pp. 229-257
-
-
Khoshgoftaar, T.M.1
Seliya, N.2
-
37
-
-
0029306995
-
StatLog: Comparison of classification algorithms on large real-world problems
-
King RD, Feng C, Sutherland A (1995) StatLog: comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence 9(3):259-287
-
(1995)
Applied Artificial Intelligence
, vol.9
, Issue.3
, pp. 259-287
-
-
King, R.D.1
Feng, C.2
Sutherland, A.3
-
38
-
-
33744526493
-
Bagging and boosting classification trees to predict churn
-
Lemmens A, Croux C (2006) Bagging and boosting classification trees to predict churn. Journal of Marketing Research 43(2):276-286
-
(2006)
Journal of Marketing Research
, vol.43
, Issue.2
, pp. 276-286
-
-
Lemmens, A.1
Croux, C.2
-
39
-
-
67349088457
-
Supervised classification for decision support in customer relationship management
-
Bortfeldt A, Homberger J, Kopfer H, Pankratz G, Strangmeier R (Hrsg) Gabler, Wiesbaden, S.
-
Lessmann S, Voß S (2008) Supervised classification for decision support in customer relationship management. In: Bortfeldt A, Homberger J, Kopfer H, Pankratz G, Strangmeier R (Hrsg) Intelligent Decision Support. Gabler, Wiesbaden, S. 231-253
-
(2008)
Intelligent Decision Support
, pp. 231-253
-
-
Lessmann, S.1
Voß, S.2
-
40
-
-
49349089233
-
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
-
Lessmann S, Baesens B, Mues C, Pietsch S (2008) Benchmarking classification models for software defect prediction: a proposed framework and novel findings. IEEE Transactions on Software Engineering 34(4):485-496
-
(2008)
IEEE Transactions on Software Engineering
, vol.34
, Issue.4
, pp. 485-496
-
-
Lessmann, S.1
Baesens, B.2
Mues, C.3
Pietsch, S.4
-
41
-
-
0034274591
-
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
-
Lim T-S, Loh W-Y, Shih Y-S (2000) A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning 40(3):203-228
-
(2000)
Machine Learning
, vol.40
, Issue.3
, pp. 203-228
-
-
Lim, T.-S.1
Loh, W.-Y.2
Shih, Y.-S.3
-
42
-
-
0043166439
-
Handwritten digit recognition: Benchmarking of state-of-the-art techniques
-
Liu C-L, Nakashima K, Sako H, Fujisawa H (2003) Handwritten digit recognition: benchmarking of state-of-the-art techniques. Pattern Recognition 36(10):2271-2285
-
(2003)
Pattern Recognition
, vol.36
, Issue.10
, pp. 2271-2285
-
-
Liu, C.-L.1
Nakashima, K.2
Sako, H.3
Fujisawa, H.4
-
43
-
-
34447292534
-
Comprehensible credit scoring models using rule extraction from support vector machines
-
Martens D, Baesens B, van Gestel T, Vanthienen J (2007) Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of Operational Research 183(3):1466-1476
-
(2007)
European Journal of Operational Research
, vol.183
, Issue.3
, pp. 1466-1476
-
-
Martens, D.1
Baesens, B.2
Van Gestel, T.3
Vanthienen, J.4
-
45
-
-
0242288813
-
The support vector machine under test
-
Meyer D, Leisch F, Hornik K (2003) The support vector machine under test. Neurocomputing 55(1-2):169-186
-
(2003)
Neurocomputing
, vol.55
, Issue.1-2
, pp. 169-186
-
-
Meyer, D.1
Leisch, F.2
Hornik, K.3
-
46
-
-
33744509693
-
Defection detection: Measuring and understanding the predictive accuracy of customer churn models
-
Neslin SA, Gupta S, Kamakura W, Lu J, Mason CH (2006) Defection detection: measuring and understanding the predictive accuracy of customer churn models. Journal of Marketing Research 43(2):204-211
-
(2006)
Journal of Marketing Research
, vol.43
, Issue.2
, pp. 204-211
-
-
Neslin, S.A.1
Gupta, S.2
Kamakura, W.3
Lu, J.4
Mason, C.H.5
-
47
-
-
56349094668
-
Application of data mining techniques in customer relationship management: A literature review and classification
-
Ngai EWT, Xiu L, Chau DCK (2009) Application of data mining techniques in customer relationship management: a literature review and classification. Expert Systems with Applications 36(2):2592-2602
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.2
, pp. 2592-2602
-
-
Ngai, E.W.T.1
Xiu, L.2
Chau, D.C.K.3
-
49
-
-
1242268938
-
Tree induction vs. logistic regression: A learning-curve analysis
-
Perlich C, Provost F, Simonoff JS, Cohen WW (2003) Tree induction vs. logistic regression: a learning-curve analysis. Journal of Machine Learning Research 4(2):211-255
-
(2003)
Journal of Machine Learning Research
, vol.4
, Issue.2
, pp. 211-255
-
-
Perlich, C.1
Provost, F.2
Simonoff, J.S.3
Cohen, W.W.4
-
50
-
-
1842478892
-
Customer attrition analysis for financial services using proportional hazard models
-
Poel D, van den, Lariviere B (2004) Customer attrition analysis for financial services using proportional hazard models. European Journal of Operational Research 157(1 ):196-217
-
(2004)
European Journal of Operational Research
, vol.157
, Issue.1
, pp. 196-217
-
-
Poel, D.1
Van Den Lariviere, B.2
-
53
-
-
34247507155
-
Decisioncentric active learning of binary-outcome models
-
Saar-Tsechansky M, Provost F (2007) Decisioncentric active learning of binary-outcome models. Information Systems Research 18(1):4-22
-
(2007)
Information Systems Research
, vol.18
, Issue.1
, pp. 4-22
-
-
Saar-Tsechansky, M.1
Provost, F.2
-
54
-
-
33749250604
-
Experimental study for the comparison of classifier combination methods
-
Sohn SY, Shin HW (2007) Experimental study for the comparison of classifier combination methods. Pattern Recognition 40(1):33-40
-
(2007)
Pattern Recognition
, vol.40
, Issue.1
, pp. 33-40
-
-
Sohn, S.Y.1
Shin, H.W.2
-
55
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
Ting KM (2002) An instance-weighting method to induce cost-sensitive trees. IEEE Transactions on Knowledge and Data Engineering 14(3):659-665
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.3
, pp. 659-665
-
-
Ting, K.M.1
-
56
-
-
84899032239
-
The relevance vector machine
-
Solla SA, Leen TK, Müller K-R (Hrsg) Bd 12. MIT Press, Cambridge, S.
-
Tipping ME (2000) The relevance vector machine. In: Solla SA, Leen TK, Müller K-R (Hrsg) Advances in neural information processing systems, Bd 12. MIT Press, Cambridge, S. 652-658
-
(2000)
Advances in Neural Information Processing Systems
, pp. 652-658
-
-
Tipping, M.E.1
-
58
-
-
1842451173
-
A comparison of state-of-the-art classification techniques for expert automobile insurance claim fraud detection
-
Viaene S, Derrig RA, Baesens B, Dedene G (2002) A comparison of state-of-the-art classification techniques for expert automobile insurance claim fraud detection. Journal of Risk & Insurance 69(3):373-421
-
(2002)
Journal of Risk & Insurance
, vol.69
, Issue.3
, pp. 373-421
-
-
Viaene, S.1
Derrig, R.A.2
Baesens, B.3
Dedene, G.4
-
59
-
-
58349119116
-
Empirical analysis of support vector machine ensemble classifiers
-
Wang S-j, Mathew A, Chen Y, Xi L-f, Ma L, Lee J (2009) Empirical analysis of support vector machine ensemble classifiers. Expert Systems with Applications 36(2):6466-6476
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.2
, pp. 6466-6476
-
-
S-j, W.1
Mathew, A.2
Chen, Y.3
L-f, X.4
Ma, L.5
Lee, J.6
-
60
-
-
0001512820
-
An empirical comparison of pattern recognition, neural nets and machine learning classification methods
-
Sridharan NS (eds) Detroit
-
Weiss SM, Kapouleas I (1989) An empirical comparison of pattern recognition, neural nets and machine learning classification methods. In: Sridharan NS (eds) Proc. 11th intern. joint conf. on artificial intelligence, Detroit
-
(1989)
Proc. 11th Intern. Joint Conf. on Artificial Intelligence
-
-
Weiss, S.M.1
Kapouleas, I.2
-
61
-
-
1442275185
-
Learning when training data are costly: The effect of class distribution on tree induction
-
Weiss GM, Provost F (2003) Learning when training data are costly: the effect of class distribution on tree induction. Journal of Artificial Intelligence Research 19: 315-354
-
(2003)
Journal of Artificial Intelligence Research
, vol.19
, pp. 315-354
-
-
Weiss, G.M.1
Provost, F.2
-
63
-
-
17644376480
-
Comparison of four machine learning methods for predicting PM10 concentrations in Helsinki
-
Zickus M, Greig AJ, Niranjan M (2002) Comparison of four machine learning methods for predicting PM10 concentrations in Helsinki. Finland Water, Air, & Soil Pollution Focus 2(5):717-729
-
(2002)
Finland Water, Air, & Soil Pollution Focus
, vol.2
, Issue.5
, pp. 717-729
-
-
Zickus, M.1
Greig, A.J.2
Niranjan, M.3
|