|標題：The Rough Set-Based Algorithm for Two Steps|
|作品名稱||The Rough Set-Based Algorithm for Two Steps|
|著者||Liao, Shu-hsien; Chen, Yin-ju; Ho, Shiu-Hwei|
|著錄名稱、卷期、頁數||Lecture notes in Computer Science 7063, pp.63-70|
|摘要||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. urthermore, 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.