Abstract
Association rule mining, vital techniques of data mining. It aspires at searching for interesting relationships among items in a large data set or database and discovers association rules among the large no of item sets. ARM aims to analyze frequent patterns, associations or casual structures among sets of items in the transaction databases or other data repositories. Data mining can perform these various activities using its technique like clustering, classification, prediction, association learning etc. The significance of ARM is mounting with needs of finding frequent item set from huge data sources. Association rules are widely used in various areas such as networks, market and risk management, inventory control etc. This paper aims at giving a theoretical survey on some of the existing algorithms.
Keywords
Association rule mining
Apriori
Itemsets
Support
Confidence
Authors
How to Cite this Article
S.Saveetha, S.Saravanan (2015).
"A STUDY ON ASSOCIATION RULES MINING ALGORITHMS".
International Journal of Contemporary Research in Computer Science and Technology,
1(7), pp. 251-256.
