教師資料查詢 | 類別: 期刊論文 | 教師: 蔣璿東 Chiang Ding-an (瀏覽個人網頁)

標題:Analysis on repeat-buying patterns
學年
學期
出版(發表)日期2010/12/01
作品名稱Analysis on repeat-buying patterns
作品名稱(其他語言)
著者Chiang, Ding-An; Wang, Yi-Hsin; Chen, Shao-Ping
單位淡江大學資訊工程學系
出版者Amsterdam: Elsevier BV
著錄名稱、卷期、頁數Knowledge-Based Systems 23(8), pp.757-768
摘要Consumer market has several characteristics in common such as repeat-buying over the relevant time frame, a large number of customers, and a wealth of information detailing past customer purchases. Analyzing the characterizations of repeat-buying is necessary to understand and adapt to dynamics of customer behaviors for company to survive in a continuously changing environment. The aim of this paper is to develop a methodology to detect the existence of repeat-buying behavior and discover the potential period of the repeat-buying behavior. We propose a new mathematical model to capture the characteristics of repeat-buying behavior. The algorithms based on our previous works then proposed to provide a scheme to discover periodicity and trends of the purchase. Two fundamental repeat-buying types have been identified and analyzed. Any repeat-buying scenarios can be expressed as the combination of the two fundamental types. The proposed mathematical model coupled with our prior works on cyclic modeling form a systematic process to uncover the characteristics of repeat-buying phenomenon. The experiments against a domestic consumer goods company are provided. The experimental results show that the proposed model can predict likely periodic purchase more precisely than previous studies.
關鍵字Sequential pattern mining;Periodic mining;Repeat-buying behavior;Temporal data mining;Time interval sequential pattern
語言英文
ISSN0950-7051
期刊性質國外
收錄於SCI
產學合作
通訊作者Chen, Shao-Ping
審稿制度
國別荷蘭
公開徵稿
出版型式紙本
相關連結
SDGs
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