期刊論文
| 學年 | 93 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2005-01-19 |
| 作品名稱 | Mining interval sequential patterns |
| 作品名稱（其他語言） | |
| 著者 | Chiang, Rui-dong |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Wiley Periodicals |
| 著錄名稱、卷期、頁數 | Internal Journal of Intelligent System 20(3), p.359-373 |
| 摘要 | The main task of mining sequential patterns is to analyze the transaction database of a company in order to find out the priorities of items that most customers take when consuming. In this article, we propose a new method—the ISP Algorithm. With this method, we can find out not only the order of consumer items of each customer, but also offer the periodic interval of consumer items of each customer. Compared with other previous periodic association rules, the difference is that the period the algorithm provides is not the repeated purchases in a regular time, but the possible repurchases within a certain time frame. The algorithm utilizes the transaction time interval of individual customers and that of all the customers to find out when and who will buy goods, and what items of goods they will buy. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 359–373, 2005. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1098-111X |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/71514 ) |