DocumentCode
130872
Title
A Improved PrefixSpan algorithm for sequential pattern mining
Author
Liang Dong ; Wang Hong
Author_Institution
Inst. of Inf. Sci. & Eng., Shandong Normal Univ., Jinan, China
fYear
2014
fDate
27-29 June 2014
Firstpage
377
Lastpage
380
Abstract
Aiming at the problem of constructing huge amounts of projected databases in PrefixSpan algorithm, this paper proposes an Improved PrefixSpan algorithm for Mining Sequential Patterns, called BLSPM algorithm (based on bi-level Sequential Patterns Mining). The algorithm use duplicated projection and certain specific sequential patterns pruning, reduce the scale of projected databases and the runtime of scanning projected databases, thus, the efficiency of algorithm could be raised up greatly, and all needed sequential patterns are obtained. Experiment results shows that BLSPM algorithm is more efficient than PrefixSpan algorithm in large databases.
Keywords
data mining; database management systems; BLSPM algorithm; PrefixSpan algorithm; bi-level sequential patterns mining; duplicated projection; projected databases; sequential patterns pruning; Algorithm design and analysis; Data mining; Databases; Heuristic algorithms; Iron; Runtime; Software algorithms; PrefixSpan algorithm; prejected database; sequential pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4799-3278-8
Type
conf
DOI
10.1109/ICSESS.2014.6933586
Filename
6933586
Link To Document