期刊論文
| 學年 | 99 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2011-03-01 |
| 作品名稱 | Mining Disjunctive Consequent Association Rules |
| 作品名稱（其他語言） | |
| 著者 | Chiang, Ding-An; Wang, Yi-Fan; Wang, Yi-Hsin; Chen, Zhi-Yang; Hsu, Mei-Hua |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Amsterdam: Elsevier BV |
| 著錄名稱、卷期、頁數 | Applied Soft Computing 11(2), pp.2129-2133 |
| 摘要 | When associationrules A → B and A → C cannot be discovered from the database, it does not mean that A → B ∨ C will not be an associationrule from the same database. In fact, when A, B or C is the newly marketed product, A → B ∨ C shall be a very useful rule in some cases. Since the consequent item of this kind of rule is formed by a disjunctive composite item, we call this type of rules as the disjunctiveconsequentassociationrules. Therefore, we propose a simple but efficient algorithm to discover this type of rules. Moreover, when we apply our algorithm to insurance policy for cross selling, the useful results have been proven by the insurance company. |
| 關鍵字 | Data mining;Associationrule;Disjunctive composite items |
| 語言 | en |
| ISSN | 1568-4946 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Wang, Yi-Fan |
| 審稿制度 | |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/77271 ) |