The rough set-based algorithm for two steps

Authors:
Shu-Hsien Liao;Yin-Ju Chen;Shiu-Hwei Ho
Affiliations:
Department of Management Sciences, Tamkang University, New Taipei City, Taiwan R.O.C;Graduate Institute of Management Sciences, Tamkang University, New Taipei City, Taiwan R.O.C;Department of Business Administration, Technology and Science Institute of Northern Taiwan, Taipei, Taiwan, R.O.C
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Year:
2011

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Abstract

The previous research in mining association rules pays no attention to finding rules from imprecise data, and the traditional data mining cannot solve the multi-policy-making problem. Furthermore, in this research, we incorporate association rules with rough sets and promote a new point of view in applications. The new approach can be applied for finding association rules, which has the ability to handle uncertainty combined with rough set theory. In the research, first, we provide new algorithms modified from Apriori algorithm and then give an illustrative example. Finally, give some suggestion based on knowledge management as a reference for future research.