Evolutionary Multi-objective Rule Selection for Classification Rule Mining

[1]  Kim-Fung Man,et al.  Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction , 2005, Fuzzy Sets Syst..

[2]  Victor J. Rayward-Smith,et al.  Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules , 2005, EMO.

[3]  V. J. Rayward-Smith,et al.  Data mining rules using multi-objective evolutionary algorithms , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[4]  Frans Coenen,et al.  Threshold Tuning for Improved Classification Association Rule Mining , 2005, PAKDD.

[5]  Stefan Mutter,et al.  Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining , 2004, Australian Conference on Artificial Intelligence.

[6]  Yaochu Jin,et al.  Multi-Objective Machine Learning , 2006, Studies in Computational Intelligence.

[7]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[8]  Sankar K. Pal,et al.  Data mining in soft computing framework: a survey , 2002, IEEE Trans. Neural Networks.

[9]  Francisco Herrera,et al.  Stratification for scaling up evolutionary prototype selection , 2005, Pattern Recognit. Lett..

[10]  Tapio Elomaa,et al.  General and Efficient Multisplitting of Numerical Attributes , 1999, Machine Learning.

[11]  Hisao Ishibuchi,et al.  Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining , 2004, Fuzzy Sets Syst..

[12]  J. Casillas Interpretability issues in fuzzy modeling , 2003 .

[13]  Heikki Mannila,et al.  Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.

[14]  Kim-Fung Man,et al.  Agent-based evolutionary approach for interpretable rule-based knowledge extraction , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[15]  Hisao Ishibuchi,et al.  Three-objective genetics-based machine learning for linguistic rule extraction , 2001, Inf. Sci..

[16]  Hisao Ishibuchi,et al.  Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining , 2004, Advanced information processing.

[17]  Patrick Brézillon,et al.  Lecture Notes in Artificial Intelligence , 1999 .

[18]  Hisao Ishibuchi,et al.  Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems , 1997, Fuzzy Sets Syst..

[19]  F. Herrera,et al.  Accuracy Improvements in Linguistic Fuzzy Modeling , 2003 .

[20]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[21]  Mehmet Kaya,et al.  Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules , 2006, Soft Comput..

[22]  Luis Magdalena,et al.  Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview , 2003 .

[23]  Hisao Ishibuchi,et al.  Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning , 2007, Int. J. Approx. Reason..

[24]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[25]  Sankar K. Pal,et al.  Web mining in soft computing framework: relevance, state of the art and future directions , 2002, IEEE Trans. Neural Networks.

[26]  Xavier Llorà,et al.  Bounding the Effect of Noise in Multiobjective Learning Classifier Systems , 2003, Evolutionary Computation.

[27]  Bhabesh Nath,et al.  Multi-objective rule mining using genetic algorithms , 2004, Inf. Sci..

[28]  Malcolm I. Heywood,et al.  Towards Efficient Training on Large Datasets for Genetic Programming , 2004, Canadian AI.

[29]  Tong Heng Lee,et al.  A distributed evolutionary classifier for knowledge discovery in data mining , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[30]  Victor J. Rayward-Smith,et al.  The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification , 2006, Eur. J. Oper. Res..

[31]  Chaochang Chiu,et al.  A constraint-based genetic algorithm approach for mining classification rules , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[32]  Wynne Hsu,et al.  Integrating Classification and Association Rule Mining , 1998, KDD.

[33]  Matthew A. Kupinski,et al.  Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating ROC Curves , 1999, IEEE Trans. Medical Imaging.

[34]  Frans Coenen,et al.  Obtaining best parameter values for accurate classification , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

[35]  Beatriz de la Iglesia,et al.  Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[36]  Hisao Ishibuchi,et al.  Selecting fuzzy if-then rules for classification problems using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..

[37]  Peter I. Cowling,et al.  Improving rule sorting, predictive accuracy and training time in associative classification , 2006, Expert Syst. Appl..

[38]  Roberto J. Bayardo,et al.  Mining the most interesting rules , 1999, KDD '99.

[39]  Francisco Herrera,et al.  On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining , 2006, Appl. Soft Comput..

[40]  Dr. Alex A. Freitas Data Mining and Knowledge Discovery with Evolutionary Algorithms , 2002, Natural Computing Series.

[41]  Hisao Ishibuchi,et al.  Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems , 2004, PPSN.

[42]  Jian Pei,et al.  CMAR: accurate and efficient classification based on multiple class-association rules , 2001, Proceedings 2001 IEEE International Conference on Data Mining.