DocumentCode :
167526
Title :
Comparisons of typical algorithms in negative sequential pattern mining
Author :
Xiangjun Dong ; Yongshun Gong ; Lulin Zhao
Author_Institution :
Sch. of Inf., Qilu Univ. of Technol., Jinan, China
fYear :
2014
fDate :
8-9 May 2014
Firstpage :
387
Lastpage :
390
Abstract :
Negative sequential pattern (NSP), which contains both non-occurring and occurring items, can play more important roles than positive sequential pattern (PSP) in many applications. NSP mining, however, has been just caught attention and very limited methods are available to mine NSP. Furthermore, there is not a unified definition about negative containment, i.e., how a data sequence contains a negative sequence. So in this paper, we select three typical existing methods, PNSP, Neg-GSP and e-NSP, and compare their definitions, runtime and the number of NSPs. Examples and experiments on same dataset clearly show their differences.
Keywords :
data mining; NSP mining; Neg-GSP; PNSP; e-NSP; negative sequential pattern mining; nonoccurring items; positive sequential pattern; typical algorithm comparison; Silicon; negative containment; negative sequential pattern; positive sequential pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/IWECA.2014.6845638
Filename :
6845638
Link To Document :
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