Classifier systems and genetic algorithms
Artificial Intelligence
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovering Numeric Association Rules via Evolutionary Algorithm
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Multi-objective rule mining using genetic algorithms
Information Sciences: an International Journal - Special issue: Soft computing data mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Immune Clone Algorithm for Mining Association Rules on Dynamic Databases
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Dynamic Association Rule Mining using Genetic Algorithms
Intelligent Data Analysis
An Immune Based Relational Database Intrusion Detection Algorithm
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 03
Evolutionary approach for mining association rules on dynamic databases
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
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Association rule mining is one of the most important data mining tasks. It corresponds to the determination of rules that associate items to other items in a data set, where the items are attributes in transactional databases. Although evolutionary algorithms have been used in this task for some time, there are few applications of immune algorithms to such problem. This paper presents one typical genetic algorithm plus two clonal selection algorithms applied to association rule mining under the perspective of several measures of interest.