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
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