DocumentCode :
1965423
Title :
Parallel Research of Sequential Pattern Data Mining Algorithm
Author :
Jinlin, Wang ; Xi, Chen ; Kefa, Zhou ; Wei, Wang
Author_Institution :
Xinjiang Inst. of Geogr. & Ecology, Chinese Acad. of Sci., Urumqi
Volume :
4
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
348
Lastpage :
353
Abstract :
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.
Keywords :
data mining; parallel algorithms; experimental verification; parallel algorithm; sequential pattern data mining algorithm; serial sequential pattern; Aggregates; Algorithm design and analysis; Computer science; Data mining; Databases; Geography; Merchandise; Parallel algorithms; Software algorithms; Software engineering; data mining; frequent sequence aggregate; minimal support; parallel algorithm; sequential pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1077
Filename :
4722632
Link To Document :
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