-
1
-
-
84948104699
-
Integrating classification and association rule mining
-
New York, August 27-31
-
B. Liu, W. Hsu, and Y. Ma, "Integrating classification and association rule mining," Proc. of 4th International Conference on Knowledge Discovery and Data Mining, New York, August 27-31, 1998, pp. 80-86.
-
(1998)
Proc. of 4th International Conference on Knowledge Discovery and Data Mining
, pp. 80-86
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
2
-
-
78149313084
-
CMAR: Accurate and efficient classification based on multiple class-association rules
-
San Jose, November 29, December 2
-
W. Li, J. Han, and J. Pei, "CMAR: Accurate and efficient classification based on multiple class-association rules," Proc. of 1st IEEE International Conference on Data Mining, San Jose, November 29 - December 2, 2001, pp. 369-376.
-
(2001)
Proc. of 1st IEEE International Conference on Data Mining
, pp. 369-376
-
-
Li, W.1
Han, J.2
Pei, J.3
-
3
-
-
22944478345
-
Using classification to evaluate the output of confidence-based association rule mining
-
Springer, Berlin, December
-
S. Mutter, M. Hall, and E. Frank, "Using classification to evaluate the output of confidence-based association rule mining," Lecture Notes in Artificial Intelligence 3339: Advances in Artificial Intelligence - AI 2004, Springer, Berlin, December 2004, pp. 538-549.
-
(2004)
Lecture Notes in Artificial Intelligence 3339: Advances in Artificial Intelligence - AI 2004
, pp. 538-549
-
-
Mutter, S.1
Hall, M.2
Frank, E.3
-
4
-
-
33646136001
-
Improving rule sorting, predictive accuracy and training time in associative classification
-
August
-
F. Thabtah, P. Cowling, and S. Hammoud, "Improving rule sorting, predictive accuracy and training time in associative classification," Expert Systems with Applications, vol. 31, no. 2, August 2006, pp. 414-426.
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.2
, pp. 414-426
-
-
Thabtah, F.1
Cowling, P.2
Hammoud, S.3
-
5
-
-
0001371923
-
Fast discovery of association rules
-
U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy eds, AAAI Press, Menlo Park
-
R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo, "Fast discovery of association rules," in U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, 1996, pp. 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
-
6
-
-
0002794538
-
Mining the most interesting rules
-
San Diego, August 15-18
-
R. J. Bayardo Jr. and R. Agrawal, "Mining the most interesting rules," Proc. of 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, August 15-18, 1999, pp. 145-153.
-
(1999)
Proc. of 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 145-153
-
-
Bayardo Jr., R.J.1
Agrawal, R.2
-
7
-
-
84901471327
-
Data mining rules using multi-objective evolutionary algorithms
-
December 8-12
-
B. de la Iglesia, M. S. Philpott, A. J. Bagnall, and V. J. Rayward-Smith, "Data mining rules using multi-objective evolutionary algorithms," Proc. of 2003 Congress on Evolutionary Computation, December 8-12, 2003, pp. 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
-
8
-
-
24344474261
-
Developments on a multi-objective metaheuristic (MOMH) algorithm for finding interesting sets of classification rules
-
Springer, Berlin, March
-
B. de la Iglesia, A. Reynolds, and V. J. Rayward-Smith, "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, March 2005, pp. 826-840.
-
(2005)
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
-
9
-
-
27144538611
-
The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification
-
March
-
B. de la Iglesia, G. Richards, M. S. Philpott, and V. J. Rayward-Smith, "The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification," European Journal of Operational Research, vol. 169, no. 3, March 2006, pp. 898-917.
-
(2006)
European Journal of Operational Research
, vol.169
, Issue.3
, pp. 898-917
-
-
de la Iglesia, B.1
Richards, G.2
Philpott, M.S.3
Rayward-Smith, V.J.4
-
10
-
-
40649109573
-
Rule induction using multi-objective metaheuristics: Encouraging rule diversity
-
Vancouver, Canada, July 16-21
-
A. Reynolds and B. de la Iglesia, "Rule induction using multi-objective metaheuristics: Encouraging rule diversity," Proc. of 2006 International Joint Conference on Neural Networks, Vancouver, Canada, July 16-21, 2006, pp. 6375-6382.
-
(2006)
Proc. of 2006 International Joint Conference on Neural Networks
, pp. 6375-6382
-
-
Reynolds, A.1
de la Iglesia, B.2
-
11
-
-
2442699339
-
Multi-objective rule mining using genetic algorithms
-
June
-
A. Ghosh and B. T. Nath, "Multi-objective rule mining using genetic algorithms," Information Sciences, vol. 163, no. 1-3, June 2004, pp. 123-133.
-
(2004)
Information Sciences
, vol.163
, Issue.1-3
, pp. 123-133
-
-
Ghosh, A.1
Nath, B.T.2
-
12
-
-
33244458239
-
Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
-
May
-
M. Kaya, "Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules," Soft Computing, vol. 10, no. 7, May 2006, pp. 578-586.
-
(2006)
Soft Computing
, vol.10
, Issue.7
, pp. 578-586
-
-
Kaya, M.1
-
14
-
-
0003722376
-
-
Addison-Wesley, Reading
-
D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, 1989.
-
(1989)
Genetic Algorithms in Search, Optimization, and Machine Learning
-
-
Goldberg, D.E.1
-
15
-
-
0029359001
-
Selecting fuzzy if-then rules for classification problems using genetic algorithms
-
August
-
H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algorithms," IEEE Trans. on Fuzzy Systems, vol. 3, no. 3, August 1995, pp. 260-270.
-
(1995)
IEEE Trans. on Fuzzy Systems
, vol.3
, Issue.3
, pp. 260-270
-
-
Ishibuchi, H.1
Nozaki, K.2
Yamamoto, N.3
Tanaka, H.4
-
16
-
-
0000919523
-
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
-
July
-
H. Ishibuchi, T. Murata, and I. B. Turksen, "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems," Fuzzy Sets and Systems, vol. 89, no. 2, July 1997, pp. 135-150.
-
(1997)
Fuzzy Sets and Systems
, vol.89
, Issue.2
, pp. 135-150
-
-
Ishibuchi, H.1
Murata, T.2
Turksen, I.B.3
-
17
-
-
0035426682
-
Three-objective genetics-based machine learning for linguistic rule extraction
-
August
-
H. Ishibuchi, T. Nakashima, and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction," Information Sciences, vol. 136, no. 1-4, August 2001, pp. 109-133.
-
(2001)
Information Sciences
, vol.136
, Issue.1-4
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
18
-
-
0346781550
-
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
-
January
-
H. Ishibuchi and T. Yamamoto, "Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining," Fuzzy Sets and Systems, vol. 141, no. 1, January 2004, pp. 59-88.
-
(2004)
Fuzzy Sets and Systems
, vol.141
, Issue.1
, pp. 59-88
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
19
-
-
33645386802
-
Evolutionary multi-objective knowledge extraction for high-dimensional pattern classification problems
-
Springer, Berlin, September
-
H. Ishibuchi and S. Namba, "Evolutionary multi-objective knowledge extraction for high-dimensional pattern classification problems," Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature - PPSN VIII, Springer, Berlin, September 2004, pp. 1123-1132.
-
(2004)
Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature - PPSN
, vol.8
, pp. 1123-1132
-
-
Ishibuchi, H.1
Namba, S.2
-
20
-
-
34548779537
-
Accuracy-complexity tradeoff analysis in data mining by multiobjective genetic rule selection
-
Tokyo, September 20-24
-
H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Accuracy-complexity tradeoff analysis in data mining by multiobjective genetic rule selection," Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems, Tokyo, September 20-24, 2006, pp. 2069-2074.
-
(2006)
Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems
, pp. 2069-2074
-
-
Ishibuchi, H.1
Nojima, Y.2
Kuwajima, I.3
-
21
-
-
0002197262
-
Distributed representation of fuzzy rules and its application to pattern classification
-
November
-
H. Ishibuchi, K. Nozaki, and H. Tanaka, "Distributed representation of fuzzy rules and its application to pattern classification," Fuzzy Sets and Systems, vol. 52, no. 1, November 1992, pp. 21-32.
-
(1992)
Fuzzy Sets and Systems
, vol.52
, Issue.1
, pp. 21-32
-
-
Ishibuchi, H.1
Nozaki, K.2
Tanaka, H.3
-
22
-
-
0035415473
-
Effect of rule weights in fuzzy rule-based classification systems
-
August
-
H. Ishibuchi and T. Nakashima, "Effect of rule weights in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems, vol. 9, no. 4, August 2001, pp. 506-515.
-
(2001)
IEEE Trans. on Fuzzy Systems
, vol.9
, Issue.4
, pp. 506-515
-
-
Ishibuchi, H.1
Nakashima, T.2
-
23
-
-
26844469668
-
Rule weight specification in fuzzy rule-based classification systems
-
August
-
H. Ishibuchi and T. Yamamoto, "Rule weight specification in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems, vol. 13, no. 4, August 2005, pp. 428-435.
-
(2005)
IEEE Trans. on Fuzzy Systems
, vol.13
, Issue.4
, pp. 428-435
-
-
Ishibuchi, H.1
Yamamoto, T.2
-
24
-
-
0032655554
-
A proposal on reasoning methods in fuzzy rule-based classification systems
-
January
-
O. Cordon, M. J. del Jesus, and F. Herrera, "A proposal on reasoning methods in fuzzy rule-based classification systems," International Journal of Approximate Reasoning, vol. 20, no. 1, January 1999, pp. 21-45.
-
(1999)
International Journal of Approximate Reasoning
, vol.20
, Issue.1
, pp. 21-45
-
-
Cordon, O.1
del Jesus, M.J.2
Herrera, F.3
-
25
-
-
0000719509
-
Voting in fuzzy rule-based systems for pattern classification problems
-
April
-
H. Ishibuchi, T. Nakashima, and T. Morisawa, "Voting in fuzzy rule-based systems for pattern classification problems," Fuzzy Sets and Systems, vol. 103, no. 2, April 1999, pp. 223-238.
-
(1999)
Fuzzy Sets and Systems
, vol.103
, Issue.2
, pp. 223-238
-
-
Ishibuchi, H.1
Nakashima, T.2
Morisawa, T.3
-
26
-
-
23944451642
-
-
Springer, Berlin, November
-
H. Ishibuchi, T. Nakashima, and M. Nii, Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining, Springer, Berlin, November 2004.
-
(2004)
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining
-
-
Ishibuchi, H.1
Nakashima, T.2
Nii, M.3
-
27
-
-
0001639606
-
Trade-off between computation time and number of rules for fuzzy mining from quantitative data
-
October
-
T. P. Hong, C. S. Kuo, and S. C. Chi, "Trade-off between computation time and number of rules for fuzzy mining from quantitative data," International Journal of Uncertainty Fuzziness and Knowledge-based Systems, vol. 9, no. 5, October 2001, pp. 587-604.
-
(2001)
International Journal of Uncertainty Fuzziness and Knowledge-based Systems
, vol.9
, Issue.5
, pp. 587-604
-
-
Hong, T.P.1
Kuo, C.S.2
Chi, S.C.3
-
28
-
-
78149298630
-
Fuzzy data mining: Effect of fuzzy discretization
-
San Jose, USA, November 29, December 2
-
H. Ishibuchi, T. Yamamoto, and T. Nakashima, "Fuzzy data mining: Effect of fuzzy discretization," Proc. of 2001 IEEE International Conference on Data Mining, San Jose, USA, November 29 - December 2, 2001, pp. 241-248.
-
(2001)
Proc. of 2001 IEEE International Conference on Data Mining
, pp. 241-248
-
-
Ishibuchi, H.1
Yamamoto, T.2
Nakashima, T.3
-
29
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
April
-
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. on Evolutionary Computation, vol. 6, no. 2, April 2002, pp. 182-197.
-
(2002)
IEEE Trans. on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
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