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A Technique to Association Rule Mining on Multiple Datasets

Nuntawut Kaoungku1, Kittisak Kerdprasop1, and Nittaya Kerdprasop1
School of Computer Engineering, Institute of Engineering Suranaree University of Technology, Thailand

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, Attempto Controlled English

Cite: Nuntawut Kaoungku, Kittisak Kerdprasop, and Nittaya Kerdprasop, "A Technique to Association Rule Mining on Multiple Datasets," Journal of Advances in Information Technology, Vol. 5, No. 2, pp. 53-57, May, 2014.doi:10.4304/jait.5.2.53-57