Induction of fuzzy decision trees
Fuzzy Sets and Systems
A genetic algorithm for generating fuzzy classification rules
Fuzzy Sets and Systems
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Machine Learning
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Particle Swarm Algorithm for Classification Rules Generation
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
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Data mining deals with the problem of discovering novel and interesting knowledge from large amount of data. It is the core problem in building a fuzzy classification system to extract an optimal group of fuzzy classification rules from fuzzy data set. To efficiently mine the classification rule from databases, a novel classification rule mining algorithm based on particle swarm optimization (PSO) was proposed. The experimental results show that the proposed algorithm achieved higher predictive accuracy and much smaller rule list than other classification algorithm.