期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2011-06-01 |
| 作品名稱 | The Rough Set-Based Algorithm for Two Steps |
| 作品名稱（其他語言） | |
| 著者 | Liao, Shu-hsien; Chen, Yin-ju; Ho, Shiu-Hwei |
| 單位 | 淡江大學管理科學學系 |
| 出版者 | Heidelberg: Springer |
| 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. |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | 0302-9743 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | DEU |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/91971 ) |