| Goal-oriented sequential pattern for network banking churn analysis | |
|---|---|
| 學年 | 91 |
| 學期 | 1 |
| 出版（發表）日期 | 2003-01-01 |
| 作品名稱 | Goal-oriented sequential pattern for network banking churn analysis |
| 作品名稱（其他語言） | |
| 著者 | 蔣定安; Chiang, Ding-an; Wang, Yi-fan; Lee, Shao-lun; Lin, Cheng-jung |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Elsevier |
| 著錄名稱、卷期、頁數 | Expert Systems With Applications 25(3), pp.293-302 |
| 摘要 | Discovering sequential patterns is one of the most important task in data mining. In this paper we propose an efficient algorithm, called Goal-oriented sequential pattern. It can provide enterprises warning signs soon before they are losing valuable customers and give them reference for decision making. Experiments comparing Apriori showed that Goal-oriented is more efficient, and performs reasonably well for the rules. |
| 關鍵字 | Data mining;Association rule;Sequential pattern;Goal-oriented;Retention analysis |
| 語言 | en |
| ISSN | 0957-4174 |
| 期刊性質 | 國內 |
| 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/987654321/45516 ) |
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