Parallel research of sequential pattern data mining algorithm
文献类型:会议论文
作者 | Wang ; Jinlin1 ; 2 ; Chen ; Xi1 ; Zhou ; Kefa1 ; Wei1 |
出版日期 | 2008 |
会议名称 | Proceedings - International Conference on Computer Science and Software Engineering, CSSE |
会议日期 | 2008 |
会议地点 | Wuhan, Hubei, China |
关键词 | Algorithms - Parallel architectures - Software engineering - Data mining algorithm - Experimental verification - Frequent sequences - Massive data - Minimal support - Number of datum - Parallel data mining - Sequential patterns |
页码 | 348-353 |
中文摘要 | Sequential pattern has important applications in many areas and a large number of data and patterns need efficient and scalable parallel algorithm. In light of the widespread problem in current sequential pattern data mining algorithm and on the basis of researching the data mining algorithm of serial sequential pattern, a data mining algorithm of parallel sequential pattern is presented in this paper. Through theoretical analysis and experimental verification, the parallel data mining algorithm can well improve the efficiency of data mining in massive data circumstances. © 2008 IEEE. (11 refs.) |
收录类别 | EI |
会议录 | Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
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ISBN号 | 13: 9780769533360 |
源URL | [http://ir.xjlas.org/handle/365004/10792] ![]() |
专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
推荐引用方式 GB/T 7714 | Wang,Jinlin1,2,et al. Parallel research of sequential pattern data mining algorithm[C]. 见:Proceedings - International Conference on Computer Science and Software Engineering, CSSE. Wuhan, Hubei, China. 2008. |
入库方式: OAI收割
来源:新疆生态与地理研究所
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