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