Comparative Study of Association Rule Mining Algorithms
Association rule mining is to find out association rules that satisfy the predefined minimum support and confidence from a given database. Association rule mining, one of the most important techniques of data mining. It aims to extract interesting correlations, frequent patterns, associations or casual structures among sets of items in the transaction databases or other data repositories. Association rules are widely used in various areas such as telecommunication networks, market and risk management, inventory control etc. This paper represents comparative study of association rule mining algorithm.
Provided by: Universal Insurance Managers, Inc. Topic: Big Data Date Added: Mar 2012 Format: PDF