A Technique to Association Rule Mining on Multiple Datasets

Abstract — This research aims at studying the method for association rule mining on multiple datasets. Current with technology and information systems enabling agencies or organization has a data-storage system, but the problem is that those with a larger data set, which is difficult in the association rule mining, because it requires a computer with a high-performance to process, which was followed by a cost increase. How it can help solve this problem is to distribute data process according to multiple computers, then combined rules of each machine using Fact + + Reasoner for check conflicts of rules, and will therefore have powerful association rules similar to the method for association rule mining on one dataset. We thus propose a technique for association rule mining on multiple datasets. Index Terms—Association rule mining, Controlled language