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JAIST Repository >
科学技術開発戦略センター 2003～2008 >
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IFSR 2005 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3911
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| タイトル: | Forecasting of Leaving Probability of Customer by Using Data Mining |
| 著者: | Lung, Shu Lin
Wen, Chin Chen |
| キーワード: | data mining
forecasting model
Neural network
Decision tree
Logistic curve |
| 発行日: | Nov-2005 |
| 出版者: | JAIST Press |
| 抄録: | To predict the leaving customers in telecommunication service, in this study, a forecasting procedure is proposed based on data mining. In the procedure, significant variables are first investigated by testing collected data of customers’ behavior in this procedure. Then these variables are employed to fit appropriate forecasting models by adopting data mining tools as Neural network, Decision tree and Logistic curve. The method of “Lift value” [1] is adopted to evaluate these models and select an optimal one. Finally, the proposed optimal model is applied to forecast the leaving probability of ADSL (Asymmetric Digital Subscriber Line) subscriber in telecommunication. The obtained results show our proposed model is five times in accuracy than those not use any forecasting model. |
| 記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2121, Kobe, Japan
Symposium 5, Session 3 : Data/Text Mining from Large Databases Data Mining |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/3911 |
| ISBN: | 4-903092-02-X |
| 出現コレクション: | IFSR 2005
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 20011.pdf | | 747Kb | Adobe PDF | 見る/開く |
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