Apriori and Ant Colony Optimization of Association Rules
Anshuman Singh Sadh, Nitin Shukla
Abstract
Association Rule mining is one of the important and most popular data mining technique. Association rule mining can be efficiently used in any decision making processor decision based rule generation. In this paper we present an efficient mining based optimization techniques for rule generation. By using apriori algorithm we find the positive and negative association rules. Then we apply ant colony optimization algorithm (ACO) for optimizing the association rules. Our results show the effectiveness of our approach.
Keyword
Association Rule Mining, Positive Association, Negative Association, ACO.