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:The Cyclic Model Analysis on Sequential Patterns
學年98
學期1
出版(發表)日期2009/11/01
作品名稱The Cyclic Model Analysis on Sequential Patterns
作品名稱(其他語言)
著者Chiang, Ding-An; Wang, Cheng-Tzu; Chen, Shao-Ping; Chen, Chun-Chi
單位淡江大學資訊工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數Knowledge and Data Engineering, IEEE Transactions on 21(11), pp.1617-1628
摘要Sequential pattern mining has been used to predict various aspects of customer buying behavior for a long time. Discovered sequence reveals the chronological relation between items and provides valuable information to aid in developing marketing strategies. Nevertheless, we can hardly know whether the buying is cyclic and how long the interval between the two consecutive items in the sequential pattern is. To solve this problem, in this paper, data mining skills and the fundamentals of statistics are combined to develop a set of algorithms to unearth the cyclic properties of discovered sequential patterns. The algorithms, coupled with the sequential pattern mining process, constitute a thorough scheme to analyze and predict likely consumer behavior. The proposed algorithms are implemented and applied to test against real data collected from a consumer goods company. The experimental results illustrate how the model can be used to predict likely purchases within a certain time frame. Consequently, marketing professionals can execute campaigns to favorably impact customers' behaviors.
關鍵字Association rules; data mining; frequency; sequential pattern; polynomial regression
語言英文
ISSN1041-4347
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式紙本
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