教師資料查詢 | 類別: 期刊論文 | 教師: 徐煥智 Shyur Huan-jyh (瀏覽個人網頁)

標題:A data mining approach to discovering reliable sequential patterns
學年102
學期1
出版(發表)日期2013/08/01
作品名稱A data mining approach to discovering reliable sequential patterns
作品名稱(其他語言)
著者Shyur, Huan-Jyh; Jou, Chichang; Chang, Keng
單位淡江大學資訊管理學系
出版者New York: Elsevier Inc.
著錄名稱、卷期、頁數The Journal of Systems and Software 86(8), pp.2196–2203
摘要Sequential pattern mining is a data mining method for obtaining frequent sequential patterns in a sequential database. Conventional sequence data mining methods could be divided into two categories: Apriori-like methods and pattern growth methods. In a sequential pattern, probability of time between two adjacent events could provide valuable information for decision-makers. As far as we know, there has been no methodology developed to extract this probability in the sequential pattern mining process. We extend the PrefixSpan algorithm and propose a new sequential pattern mining approach: P-PrefixSpan. Besides minimum support-count constraint, this approach imposes minimum time-probability constraint, so that fewer but more reliable patterns will be obtained. P-PrefixSpan is compared with PrefixSpan in terms of number of patterns obtained and execution efficiency. Our experimental results show that P-PrefixSpan is an efficient and scalable method for sequential pattern mining.
關鍵字
語言英文(美國)
ISSN1873-1228;0164-1212
期刊性質國外
收錄於SCI;
產學合作
通訊作者Shyur, Huan-Jyh
審稿制度
國別美國
公開徵稿
出版型式紙本,電子版
相關連結
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