Fast discovery of association rules
Advances in knowledge discovery and data mining
Data mining: a hands-on approach for business professionals
Data mining: a hands-on approach for business professionals
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Data Mining and Forecasting in Large-Scale Telecommunication Networks
IEEE Expert: Intelligent Systems and Their Applications
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
On Classification and Regression
DS '98 Proceedings of the First International Conference on Discovery Science
Data Mining for Intrusion Detection: Techniques, Applications and Systems
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
An effective use of crowding distance in multiobjective particle swarm optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
Soft Computing - A Fusion of Foundations, Methodologies and Applications
The effect of threshold values on association rule based classification accuracy
Data & Knowledge Engineering
A new approach to classification based on association rule mining
Decision Support Systems
A greedy classification algorithm based on association rule
Applied Soft Computing
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A hybrid PSO/ACO algorithm for classification
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Induction of multiple criteria optimal classification rules for biological and medical data
Computers in Biology and Medicine
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Computer Methods and Programs in Biomedicine
Finding "persistent rules": Combining association and classification results
Expert Systems with Applications: An International Journal
Post-processing of associative classification rules using closed sets
Expert Systems with Applications: An International Journal
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Knowledge-Based Systems
Data mining in learning classifier systems: comparing XCS with GAssist
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Threshold tuning for improved classification association rule mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
Movement Strategies for Multi-Objective Particle Swarm Optimization
International Journal of Applied Metaheuristic Computing
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem
International Journal of Applied Metaheuristic Computing
Associative classification using a bio-inspired algorithm
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Engineering Applications of Artificial Intelligence
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Associative classification rule mining (ACRM) methods operate by association rule mining (ARM) to obtain classification rules from a previously classified data. In ACRM, classifiers are designed through two phases: rule extraction and rule selection. In this paper, the ACRM problem is treated as a multi-objective problem rather than a single objective one. As the problem is a discrete combinatorial optimization problem, it was necessary to develop a binary multi-objective particle swarm optimization (BMOPSO) to optimize the measure like coverage and confidence of association rule mining (ARM) to extract classification rules in rule extraction phase. In rule selection phase, a small number of rules are targeted from the extracted rules by BMOPSO to design an accurate and compact classifier which can maximize the accuracy of the rule sets and minimize their complexity simultaneously. Experiments are conducted on some of the University of California, Irvine (UCI) repository datasets. The comparative result of the proposed method with other standard classifiers confirms that the new proposed approach can be a suitable method for classification.