-
1
-
-
0001371923
-
Fast Discovery of Association Rules
-
Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) , AAAI Press, Menlo Park
-
Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A. I.: Fast Discovery of Association Rules. In Fayyad, U. M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park (1996) 307–328
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.I.5
-
3
-
-
17444379003
-
Stratification for Scaling up Evolutionary Prototype Selection
-
Cano, J. R., Herrera, F., Lozano, M.: Stratification for Scaling up Evolutionary Prototype Selection. Pattern Recognition Letters 26 (2005) 953–963
-
(2005)
Pattern Recognition Letters
, vol.26
, pp. 953-963
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
4
-
-
33644641221
-
On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining
-
Cano, J. R., Herrera, F., Lozano, M.: On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6 (2006) 323–332
-
(2006)
Applied Soft Computing
, vol.6
, pp. 323-332
-
-
Cano, J.R.1
Herrera, F.2
Lozano, M.3
-
5
-
-
0037597549
-
-
Casillas, J., Cordon, O., Herrera, F., Magdalena, L. (eds.), Springer, Berlin
-
Casillas, J., Cordon, O., Herrera, F., Magdalena, L. (eds.): Interpretability Issues in Fuzzy Modeling, Springer, Berlin (2003)
-
(2003)
Interpretability Issues in Fuzzy Modeling
-
-
-
6
-
-
18544371038
-
A Constraint-Based Genetic Algorithm Approach for Mining Classification Rules
-
Chiu, C. C., Hsu, P. L.: A Constraint-Based Genetic Algorithm Approach for Mining Classification Rules. IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews 35 (2005) 205–220
-
(2005)
IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews
, vol.35
, pp. 205-220
-
-
Chiu, C.C.1
Hsu, P.L.2
-
8
-
-
26944467164
-
-
Springer, Berlin
-
Coenen, F., Leng, P., Zhang, L.: Threshold Tuning for Improved Classification Association Rule Mining. Lecture Notes in Artificial Intelligence, Vol. 3518: Advances in Knowledge Discovery and Data Mining — PAKDD 2005. Springer, Berlin (2005) 216–225
-
(2005)
Threshold Tuning for Improved Classification Association Rule Mining. Lecture Notes in Artificial Intelligence, Vol. 3518: Advances in Knowledge Discovery and Data Mining — PAKDD 2005
, pp. 216-225
-
-
Coenen, F.1
Leng, P.2
Zhang, L.3
-
9
-
-
85128853557
-
-
Springer, Berlin
-
Curry, R., Heywood, M. I.: Towards Efficient Training on Large Datasets for Genetic Programming. Lecture Notes in Artificial Intelligence, Vol. 3060: Advances in Artificial Intelligence — Canadian AI 2004. Springer, Berlin (2004) 161–174
-
(2004)
Towards Efficient Training on Large Datasets for Genetic Programming. Lecture Notes in Artificial Intelligence, Vol. 3060: Advances in Artificial Intelligence — Canadian AI 2004
, pp. 161-174
-
-
Curry, R.1
Heywood, M.I.2
-
10
-
-
84901471327
-
Data Mining Rules using Multi-Objective Evolutionary Algorithms
-
de la Iglesia, B., Philpott, M. S., Bagnall, A. J., Rayward-Smith, V. J.: Data Mining Rules using Multi-Objective Evolutionary Algorithms. Proc. of 2003 Congress on Evolutionary Computation (2003) 1552–1559
-
(2003)
Proc. of 2003 Congress on Evolutionary Computation
, pp. 1552-1559
-
-
de la Iglesia, B.1
Philpott, M.S.2
Bagnall, A.J.3
Rayward-Smith, V.J.4
-
11
-
-
24344474261
-
-
Springer, Berlin
-
de la Iglesia, B., Reynolds, A., Rayward-Smith, V. J.: Developments on a Multi-Objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. Lecture Notes in Computer Science, Vol. 3410: Evolutionary Multi-Criterion Optimization — EMO 2005. Springer, Berlin (2005) 826–840
-
(2005)
Developments on a Multi-Objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. Lecture Notes in Computer Science, Vol. 3410: Evolutionary Multi-Criterion Optimization — EMO 2005
, pp. 826-840
-
-
de la Iglesia, B.1
Reynolds, A.2
Rayward-Smith, V.J.3
-
12
-
-
27144538611
-
The Application and Effectiveness of a Multi-Objective Metaheuristic Algorithm for Partial Classification
-
de la Iglesia, B., Richards, G., Philpott, M. S., Rayward-Smith, V. J.: The Application and Effectiveness of a Multi-Objective Metaheuristic Algorithm for Partial Classification. European Journal of Operational Research 169 (2006) 898–917
-
(2006)
European Journal of Operational Research
, vol.169
, pp. 898-917
-
-
de la Iglesia, B.1
Richards, G.2
Philpott, M.S.3
Rayward-Smith, V.J.4
-
14
-
-
0036530772
-
A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II
-
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Trans. on Evolutionary Computation 6 (2002) 182–197
-
(2002)
IEEE Trans. on Evolutionary Computation
, vol.6
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
15
-
-
0032595775
-
General and Efficient Multisplitting of Numerical Attributes
-
Elomaa, T., Rousu, J.: General and Efficient Multisplitting of Numerical Attributes. Machine Learning 36 (1999) 201-244
-
(1999)
Machine Learning
, vol.36
, pp. 201-244
-
-
Elomaa, T.1
Rousu, J.2
-
17
-
-
2442699339
-
Multi-Objective Rule Mining using Genetic Algorithms
-
Ghosh, A., Nath, B. T.: Multi-Objective Rule Mining using Genetic Algorithms, Information Sciences 163 (2004) 123–133
-
(2004)
Information Sciences
, vol.163
, pp. 123-133
-
-
Ghosh, A.1
Nath, B.T.2
-
18
-
-
0000919523
-
Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems
-
Ishibuchi, H., Murata, T., Turksen, I. B.: Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets and Systems 89 (1997) 135–150
-
(1997)
Fuzzy Sets and Systems
, vol.89
, pp. 135-150
-
-
Ishibuchi, H.1
Murata, T.2
Turksen, I.B.3
-
19
-
-
0035426682
-
Three-Objective Genetics-Based Machine Learning for Linguistic Rule Extraction
-
Ishibuchi, H., Nakashima, T., Murata, T.: Three-Objective Genetics-Based Machine Learning for Linguistic Rule Extraction. Information Sciences 136 (2001) 109–133
-
(2001)
Information Sciences
, vol.136
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
20
-
-
23944451642
-
-
Springer, Berlin
-
Ishibuchi, H., Nakashima, T., Nii, M.: Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining. Springer, Berlin (2004)
-
(2004)
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining
-
-
Ishibuchi, H.1
Nakashima, T.2
Nii, M.3
-
21
-
-
33645386802
-
-
Springer, Berlin
-
Ishibuchi, H., Namba, S.: Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature — PPSN VIII. Springer, Berlin (2004) 1123–1132
-
(2004)
Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature — PPSN VIII
, pp. 1123-1132
-
-
Ishibuchi, H.1
Namba, S.2
-
23
-
-
33751186914
-
Analysis of Interpretability-Accuracy Tradeoff of Fuzzy Systems by Multiobjective Fuzzy Genetics-based Machine Learning
-
Ishibuchi, H., Nojima, Y.: Analysis of Interpretability-Accuracy Tradeoff of Fuzzy Systems by Multiobjective Fuzzy Genetics-based Machine Learning. International Journal of Approximate Reasoning 44 (2007) 4–31
-
(2007)
International Journal of Approximate Reasoning
, vol.44
, pp. 4-31
-
-
Ishibuchi, H.1
Nojima, Y.2
-
24
-
-
0029359001
-
Selecting Fuzzy If-Then Rules for Classification Problems using Genetic Algorithms
-
Ishibuchi, H., Nozaki, K., Yamamoto, N., Tanaka, H.: Selecting Fuzzy If-Then Rules for Classification Problems using Genetic Algorithms. IEEE Trans. on Fuzzy Systems 3 (1995) 260–270
-
(1995)
IEEE Trans. on Fuzzy Systems
, vol.3
, pp. 260-270
-
-
Ishibuchi, H.1
Nozaki, K.2
Yamamoto, N.3
Tanaka, H.4
-
25
-
-
0346781550
-
Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining
-
Ishibuchi, H., Yamamoto, T.: Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining. Fuzzy Sets and Systems 141 (2004) 59–88
-
(2004)
Fuzzy Sets and Systems
, vol.141
, pp. 59-88
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
27
-
-
33244458239
-
Multi-Objective Genetic Algorithm based Approaches for Mining Optimized Fuzzy Association Rules
-
Kaya, M.: Multi-Objective Genetic Algorithm based Approaches for Mining Optimized Fuzzy Association Rules. Soft Computing 10 (2006) 578–586
-
(2006)
Soft Computing
, vol.10
, pp. 578-586
-
-
Kaya, M.1
-
28
-
-
0033169217
-
Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curve
-
Kupinski, M. A., Anastasio, M. A.: Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curve. IEEE Trans. on Medical Imaging 18 (1999) 675–685
-
(1999)
IEEE Trans. on Medical Imaging
, vol.18
, pp. 675-685
-
-
Kupinski, M.A.1
Anastasio, M.A.2
-
31
-
-
0042782983
-
Bounding the Effect of Noise in Multiobjective Learning Classifier Systems
-
Llora, X., Goldberg, D. E.: Bounding the Effect of Noise in Multiobjective Learning Classifier Systems. Evolutionary Computation 11 (2003) 278–297
-
(2003)
Evolutionary Computation
, vol.11
, pp. 278-297
-
-
Llora, X.1
Goldberg, D.E.2
-
32
-
-
0036127265
-
Data Mining in Soft Computing Framework: A Survey
-
Mitra, S., Pal, S. K., Mitra, P.: Data Mining in Soft Computing Framework: A Survey. IEEE Trans. on Neural Networks 13 (2002) 3–14
-
(2002)
IEEE Trans. on Neural Networks
, vol.13
, pp. 3-14
-
-
Mitra, S.1
Pal, S.K.2
Mitra, P.3
-
33
-
-
22944478345
-
-
Springer, Berlin
-
Mutter, S., Hall, M., Frank, E.: Using Classification to Evaluate the Output of Confidence-based Association Rule Mining. Lecture Notes in Artificial Intelligence, Vol. 3339: Advances in Artificial Intelligence — AI 2004. Springer, Berlin (2004) 538–549
-
(2004)
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining. Lecture Notes in Artificial Intelligence, Vol. 3339: Advances in Artificial Intelligence — AI 2004
, pp. 538-549
-
-
Mutter, S.1
Hall, M.2
Frank, E.3
-
34
-
-
0036738810
-
Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions
-
Pal, S. K., Talwar, V., Mitra, P.: Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions. IEEE Trans. on Neural Networks 13 (2002) 1163–1177
-
(2002)
IEEE Trans. on Neural Networks
, vol.13
, pp. 1163-1177
-
-
Pal, S.K.1
Talwar, V.2
Mitra, P.3
-
37
-
-
18644376089
-
A Distributed Evolutionary Classifier for Knowledge Discovery in Data Mining
-
Tan, K. C., Yu, Q., Lee, T. H.: A Distributed Evolutionary Classifier for Knowledge Discovery in Data Mining. IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews 35 (2005) 131–142
-
(2005)
IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews
, vol.35
, pp. 131-142
-
-
Tan, K.C.1
Yu, Q.2
Lee, T.H.3
-
38
-
-
33646136001
-
Improving Rule Sorting, Predictive Accuracy and Training Time in Associative Classification
-
Thabtah, F., Cowling, P., Hammoud, S.: Improving Rule Sorting, Predictive Accuracy and Training Time in Associative Classification. Expert Systems with Applications 31 (2006) 414–426
-
(2006)
Expert Systems with Applications
, vol.31
, pp. 414-426
-
-
Thabtah, F.1
Cowling, P.2
Hammoud, S.3
-
39
-
-
9644257194
-
Multi-Objective Hierarchical Genetic Algorithm for Interpretable Fuzzy Rule-Based Knowledge Extraction
-
Wang, H., Kwong, S., Jin, Y., Wei, W., Man, K. F.: Multi-Objective Hierarchical Genetic Algorithm for Interpretable Fuzzy Rule-Based Knowledge Extraction. Fuzzy Sets and Systems 149 (2005) 149–186
-
(2005)
Fuzzy Sets and Systems
, vol.149
, pp. 149-186
-
-
Wang, H.1
Kwong, S.2
Jin, Y.3
Wei, W.4
Man, K.F.5
-
40
-
-
18544378721
-
Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction
-
Wang, H., Kwong, S., Jin, Y., Wei, W., Man, K. F.: Agent-Based Evolutionary Approach for Interpretable Rule-Based Knowledge Extraction. IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews 35 (2005) 143–155
-
(2005)
IEEE Trans. on Systems, Man, and Cybernetics: Part C — Applications and Reviews
, vol.35
, pp. 143-155
-
-
Wang, H.1
Kwong, S.2
Jin, Y.3
Wei, W.4
Man, K.F.5
|