教師資料查詢 | 類別: 期刊論文 | 教師: 陳宏任 CHEN HUNG-JEN (瀏覽個人網頁)

標題:Discover Sequential Patterns in Incremental Database
學年96
學期1
出版(發表)日期2007/11/01
作品名稱Discover Sequential Patterns in Incremental Database
作品名稱(其他語言)
著者Lin, Nancy P.; Hao, Wei Hua; Chen, Hung Jen; Chueh, Hao En; Chang, Chung I
單位淡江大學資訊工程學系;軍訓室
出版者Braga: North Atlantic University Union
著錄名稱、卷期、頁數International Journal of Computers 4(1), pp.197-201
摘要The task of sequential pattern mining is to discover the complete set of sequential patterns in a given sequence database with minimum support threshold. But in practice, minimum support some time is defined afterward, or need to be adjusted to discover information that interest to knowledge workers. In the same time, the problem of discover sequential patterns in a incremental database is an essential issue in real world practice of datamining. This paper discusses the issue of maintaining discovered sequential patterns when some information is appended to a sequence database. Many previous works based on Apriori-like approaches are not capable to do so without re-running previously presented algorithms on the whole updated database. We propose a novel algorithm, called DSPID, which takes full advantage of the information obtained from previous mining results to cut down the cost of finding new sequential patterns in an incremental database.
關鍵字
語言英文
ISSN1998-4308
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別葡萄牙
公開徵稿
出版型式電子版
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