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 en
ISSN 1993-8233
期刊性質 國外
收錄於
產學合作
通訊作者 Wang, Fang-Kuo
審稿制度 是
國別 NGA
公開徵稿
出版型式 電子版
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