-
2
-
-
0345872225
-
Data mining by evolutionary learning for robust churn prediction in the telecommunications industry
-
W.-H. Au, K. C. C. Chan, and X. Yao. Data mining by evolutionary learning for robust churn prediction in the telecommunications industry. IEEE Transactions on Evolutionary Computation, 7 (6):532-545, 2003.
-
(2003)
IEEE Transactions on Evolutionary Computation
, vol.7
, Issue.6
, pp. 532-545
-
-
Au, W.-H.1
Chan, K.C.C.2
Yao, X.3
-
3
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1-2):105-139, 1999.
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
4
-
-
84957107950
-
Pruning decision trees with misclassification costs
-
Cairns. Springer-Verlag
-
J. Bradford, C. Kunz, R. Kohavi, C. Brunk, and C. Brodley. Pruning decision trees with misclassification costs. In Proc. of the 1998 European Conference on Machine Learning, pages 131-136, Cairns, 1998. Springer-Verlag.
-
(1998)
Proc. of the 1998 European Conference on Machine Learning
, pp. 131-136
-
-
Bradford, J.1
Kunz, C.2
Kohavi, R.3
Brunk, C.4
Brodley, C.5
-
5
-
-
0003802343
-
-
Wadsworth, Pacific Grove, CA
-
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth, Pacific Grove, CA., 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
6
-
-
85083464467
-
Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
-
New York, NY
-
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. In Proc. 4th International Conference on Knowledge Discovery and Data Mining, pages 164-168, New York, NY, 1998.
-
(1998)
Proc. 4th International Conference on Knowledge Discovery and Data Mining
, pp. 164-168
-
-
Chan, P.K.1
Stolfo, S.J.2
-
7
-
-
0344324689
-
Metacost: A general method for making classifiers cost-sensitive
-
P. Domingos. Metacost: A general method for making classifiers cost-sensitive. In Knowledge Discovery and Data Mining, pages 155-164, 1999.
-
(1999)
Knowledge Discovery and Data Mining
, pp. 155-164
-
-
Domingos, P.1
-
8
-
-
0013316935
-
AdaCost: Misclassification cost-sensitive boosting
-
Morgan Kaufmann, San Francisco, CA
-
W. Fan, S. J. Stolfo, J. Zhang, and P. K. Chan. AdaCost: misclassification cost-sensitive boosting. In Proc. 16th International Conf. on Machine Learning, pages 97-105. Morgan Kaufmann, San Francisco, CA, 1999.
-
(1999)
Proc. 16th International Conf. on Machine Learning
, pp. 97-105
-
-
Fan, W.1
Stolfo, S.J.2
Zhang, J.3
Chan, P.K.4
-
10
-
-
0002129041
-
Generating accurate rule sets without global optimization
-
Morgan Kaufmann, San Francisco, CA
-
E. Frank and I. H. Witten. Generating accurate rule sets without global optimization. In Proc. 15th International Conf. on Machine Learning, pages 144-151. Morgan Kaufmann, San Francisco, CA, 1998.
-
(1998)
Proc. 15th International Conf. on Machine Learning
, pp. 144-151
-
-
Frank, E.1
Witten, I.H.2
-
12
-
-
0012141368
-
A survey of evolutionary algorithms for data mining and knowledge discovery
-
A. Ghosh and S. Tsutsui, editors. Springer-Verlag, August
-
A. A. Freitas. A survey of evolutionary algorithms for data mining and knowledge discovery. In A. Ghosh and S. Tsutsui, editors, Advances in Evolutionary Computation, pages 819-845. Springer-Verlag, August 2002.
-
(2002)
Advances in Evolutionary Computation
, pp. 819-845
-
-
Freitas, A.A.1
-
13
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, pages 119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
14
-
-
0347133432
-
Special issue on data mining and knowledge discovery with evolutionary algorithms
-
December
-
A. Ghosh and A. A. Freitas. (eds.) special issue on data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. on Evolutionary Computation 7(6), December 2003.
-
(2003)
IEEE Trans. on Evolutionary Computation
, vol.7
, Issue.6
-
-
Ghosh, A.1
Freitas, A.A.2
-
15
-
-
0028602950
-
On the use of non-stationary penalty functions to solve nonlinear constrained optimisation problems with gas
-
H.-P. S. D. F. Z. Michalewics, J.D. Schaffer and H. Kitano, editors. Piscataway, NJ: IEEE Press
-
J. Joins and C. Houck. On the use of non-stationary penalty functions to solve nonlinear constrained optimisation problems with gas. In H.-P. S. D. F. Z. Michalewics, J.D. Schaffer and H. Kitano, editors, Proceedings of the First IEEE International Conference on Evolutionary Computation, pages 579-584. Piscataway, NJ: IEEE Press, 1994.
-
(1994)
Proceedings of the First IEEE International Conference on Evolutionary Computation
, pp. 579-584
-
-
Joins, J.1
Houck, C.2
-
19
-
-
84901388569
-
Investment decision making using FGP: A case study
-
P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors. IEEE Press
-
J. Li and E. P. K. Tsang. Investment decision making using FGP: A case study. In P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, volume 2, pages 1253-1259. IEEE Press, 1999.
-
(1999)
Proceedings of the Congress on Evolutionary Computation
, vol.2
, pp. 1253-1259
-
-
Li, J.1
Tsang, E.P.K.2
-
20
-
-
27144525610
-
Reducing failures in investment recommendations using genetic programming
-
Universitat Pompeu Fabra, Barcelona, Spain, 6-8 July
-
J. Li and E. P. K. Tsang. Reducing failures in investment recommendations using genetic programming. In Computing in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain, 6-8 July 2000.
-
(2000)
Computing in Economics and Finance
-
-
Li, J.1
Tsang, E.P.K.2
-
22
-
-
25444524580
-
Evolutionary algorithms for constrained parameter optimization problems
-
Z. Michalewicz and M. Schoenauer. Evolutionary algorithms for constrained parameter optimization problems. Evolutionary Computation, Vol. 4, No. 1:1-32, 1996.
-
(1996)
Evolutionary Computation
, vol.4
, Issue.1
, pp. 1-32
-
-
Michalewicz, Z.1
Schoenauer, M.2
-
24
-
-
0031210972
-
Practical aspects and experiences - Parallel genetic programming and its application to trading model induction
-
M. Oussaidene, B. Chopard, O. Pictet, and M. Tomassini. Practical aspects and experiences - parallel genetic programming and its application to trading model induction. Journal of Parallel Computing, 23 No. 8:1183-1198, 1997.
-
(1997)
Journal of Parallel Computing
, vol.23
, Issue.8
, pp. 1183-1198
-
-
Oussaidene, M.1
Chopard, B.2
Pictet, O.3
Tomassini, M.4
-
25
-
-
85041528332
-
Reducing misclassification costs: Knowledge-intensive approaches to learning from noisy data
-
M. Pazzani, C. Merz, P. Murphy, K. Ali, T. Hume, and C. Brunk. Reducing misclassification costs: Knowledge-intensive approaches to learning from noisy data. In Proc. 11th International Conference on Machine Learning, pages 217-225, 1994.
-
(1994)
Proc. 11th International Conference on Machine Learning
, pp. 217-225
-
-
Pazzani, M.1
Merz, C.2
Murphy, P.3
Ali, K.4
Hume, T.5
Brunk, C.6
-
26
-
-
0001834468
-
Inductive policy: The pragmatics of bias selection
-
F. J. Provost and B. G. Buchanan. Inductive policy: The pragmatics of bias selection. Machine Learning, 20 (1/2):35-61, 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.1-2
, pp. 35-61
-
-
Provost, F.J.1
Buchanan, B.G.2
-
28
-
-
0030370417
-
Bagging, boosting, and c4.5
-
J. R. Quinlan. Bagging, boosting, and c4.5. In Proceedings, Fourteenth National Conference on Artificial Intelligence, pages 445-449, 1996.
-
(1996)
Proceedings, Fourteenth National Conference on Artificial Intelligence
, pp. 445-449
-
-
Quinlan, J.R.1
-
29
-
-
27144488420
-
Accounting for misclassification costs in decision tree classifiers
-
Baden-Baden, Germany
-
H. Roberts, M. Denby, and K. Totton. Accounting for misclassification costs in decision tree classifiers. In Proceedings of the International Symposium on Intelligent Data Analysis, pages 149-156. Baden-Baden, Germany, 1995.
-
(1995)
Proceedings of the International Symposium on Intelligent Data Analysis
, pp. 149-156
-
-
Roberts, H.1
Denby, M.2
Totton, K.3
-
30
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
K. M. Ting. An instance-weighting method to induce cost-sensitive trees. IEEE Transactions on Knowledge and Data Engineering, 14(3):659-665, 2002.
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.3
, pp. 659-665
-
-
Ting, K.M.1
-
32
-
-
84881600856
-
-
S-H. Chen (ed.), Genetic Algorithms and Programming in Computational Finance, Kluwer Series in Computational Finance, Chapter 7
-
E. P. K. Tsang and J. Li. EDDIE for Financial Forecasting. in S-H. Chen (ed.), Genetic Algorithms and Programming in Computational Finance, Kluwer Series in Computational Finance, Chapter 7, 161-174., 2002.
-
(2002)
EDDIE for Financial Forecasting
, pp. 161-174
-
-
Tsang, E.P.K.1
Li, J.2
-
33
-
-
0000865580
-
Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
-
P. D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research, 2:369-409, 1995.
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 369-409
-
-
Turney, P.D.1
|