ClosedPROWL: Efficient mining of closed frequent continuities by projected window list technology

Kuo Yu Huang, Chia Hui Chang, Kuo Zui Lin

研究成果: 會議貢獻類型會議論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

Mining frequent patterns in databases is a fundamental and essential problem in data mining research. A continuity is a kind of causal relationship which describes a definite temporal factor with exact position between the records. Since continuities break the boundaries of records, the number of potential patterns will increase drastically. An alternative approach is to mine closed frequent continuities. Mining closed frequent patterns has the same power as mining the complete set of frequent patterns, while substantially reducing redundant rules to be generated and increasing the effectiveness of mining. In this paper, we propose a method called projected window list technology for the mining of frequent continuities. We present a closed frequent continuity mining algorithm, ClosedPROWL. Experimental result shows that our algorithm is more efficient than previously proposed algorithms.

原文???core.languages.en_GB???
頁面501-505
頁數5
DOIs
出版狀態已出版 - 2005
事件5th SIAM International Conference on Data Mining, SDM 2005 - Newport Beach, CA, United States
持續時間: 21 4月 200523 4月 2005

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???event.eventtypes.event.conference???5th SIAM International Conference on Data Mining, SDM 2005
國家/地區United States
城市Newport Beach, CA
期間21/04/0523/04/05

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