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
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;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845638