Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data mining methods for knowledge discovery
Data mining methods for knowledge discovery
Data mining: concepts and techniques
Data mining: concepts and techniques
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
Data mining for association rules and sequential patterns: sequential and parallel algorithms
Data mining for association rules and sequential patterns: sequential and parallel algorithms
Understanding the Crucial Role of AttributeInteraction in Data Mining
Artificial Intelligence Review
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Discovering Individual Decision Rules: An Application of Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
User Modeling and User-Adapted Interaction
Genetic algorithm for the personnel assignment problem with multiple objectives
Information Sciences: an International Journal
International Journal of Hybrid Intelligent Systems
Multiobjective Optimization in Bioinformatics and Computational Biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A self-adaptive migration model genetic algorithm for data mining applications
Information Sciences: an International Journal
Integrated multiobjective optimization and a priori preferences using genetic algorithms
Information Sciences: an International Journal
Information Sciences: an International Journal
Preference-Function Algorithm: a novel approach for selection of the users' preferred websites
International Journal of Business Intelligence and Data Mining
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Evolutionary multiobjective fuzzy system design
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
A multi-objective multi-modal optimization approach for mining stable spatio-temporal patterns
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Autonomous classifiers with understandable rule using multi-objective genetic algorithms
Expert Systems with Applications: An International Journal
Assessment of linguistic dynamic cause-and-effect rules with delays
ACC'09 Proceedings of the 2009 conference on American Control Conference
Dependence modeling rule mining using multi-objective genetic algorithms
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Rule induction for classification using multi-objective genetic programming
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Expert Systems with Applications: An International Journal
Product portfolio identification with data mining based on multi-objective GA
Journal of Intelligent Manufacturing
Multi-objective GA rule extraction in a parallel framework
Proceedings of the 15th WSEAS international conference on Computers
A multi-objective genetic algorithm approach to rule mining for affective product design
Expert Systems with Applications: An International Journal
Multiobjective evolutionary induction of subgroup discovery fuzzy rules: a case study in marketing
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Properties of rule interestingness measures and alternative approaches to normalization of measures
Information Sciences: an International Journal
Evolutionary and immune algorithms applied to association rule mining
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Mining numerical association rules via multi-objective genetic algorithms
Information Sciences: an International Journal
Review: Soft computing applications in customer segmentation: State-of-art review and critique
Expert Systems with Applications: An International Journal
Association rule mining using binary particle swarm optimization
Engineering Applications of Artificial Intelligence
International Journal of Security and Networks
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
Information Sciences: an International Journal
Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
Expert Systems with Applications: An International Journal
| Hi-index | 0.01 |
Association rule mining problems can be considered as a multi-objective problem rather than as a single objective one. Measures like support count, comprehensibility and interestingness, used for evaluating a rule can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions present in the rule. This objective gives the accuracy of the rules extracted from the database. Comprehensibility, is measured by the number of attributes involved in the rule and tries to quantify the understandability of the rule. Interestingness measures how much interesting the rule is.Using these three measures as the objectives of rule mining problem, this article uses a Pareto based genetic algorithm to extract some useful and interesting rules from any market-basket type database. Based on experimentation, the algorithm has been found suitable for large databases.