Fast Mining of Closed Sequential Patterns
學年 96
學期 2
出版（發表）日期 2008-04-01
作品名稱 Fast Mining of Closed Sequential Patterns
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 淡江大學軍訓室
出版者 Athens: World Scientific and Engineering Academy and Society
著錄名稱、卷期、頁數 WSEAS Transactions on Computers 7(4), pp.133-139
摘要 This paper propose a novel algorithm for mining closed frequent sequences, a scalable, condensed and lossless structure of complete frequent sequences that can be mined from a sequence database. This algorithm, FMCSP, has applied several optimization methods, such as equivalence class, to alleviate the needs of searching space and run time. In particular, since one of the main issues in this type of algorithms is the redundant generation of the closed sequences, hence, we propose an effective and memory saving methods, different from previous works, does not require the complete set of closed sequences to be residing in the memory.
關鍵字 data mining;sequential patterns mining;closed sequential patterns
語言 en
ISSN 1109-2750
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度
國別 GRC
公開徵稿
出版型式 紙本
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