教師資料查詢 | 類別: 期刊論文 | 教師: 吳坤山 WU, KUN-SHAN (瀏覽個人網頁)

標題:Applied data mining techniques in insurance company: a comparative study of rough sets and decision tree
學年101
學期2
出版(發表)日期2013/06/28
作品名稱Applied data mining techniques in insurance company: a comparative study of rough sets and decision tree
作品名稱(其他語言)
著者Wu, Kun-Shan; Wang, Fang-Kuo; Shyng, Jhieh-Yu
單位淡江大學企業管理學系
出版者Lagos: Academic Journals
著錄名稱、卷期、頁數African Journal of Business Management 7(24), pp.2309-2318
摘要Nowadays, customers are the essential elements of marketing for business operation. It is a critical and unignorable task in exploring valuable customers for companies and estimating customer values. According to the definition of Customer Life Value (denoted as CLV), a suitable model was found in this study and customers’ present values were estimated by given data from insurance company. Two data mining technologies (Rough Sets Theory and Decision Tree) were introduced and applied to find the rules and factors which might have influence on customers’ values. The comparing results of two technologies revealed that the influential and important factors for both technologies were similar but not for the minor factors. Both technologies performed well in efficiency of analysis but were different in interpreting results. It suggested that the rules generated from both technologies could serve as the auxiliary factors in practical marketing strategies.
關鍵字Customer lifetime value;insurance industry;rough sets theory;ecision tree
語言英文
ISSN1993-8233
期刊性質國外
收錄於
產學合作
通訊作者Wang, Fang-Kuo
審稿制度
國別奈及利亞
公開徵稿
出版型式電子版
相關連結
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