A New Algorithm for Mining Sequential Patterns

被引：2
|
作者：
Zhang, Zhuo [1 ,2 ]
Zhang, Lu [3 ]
Zhong, Shaochun [4 ]
Guan, Jiwen [5 ]
机构：
[1] De Montfort Univ, Software Technol Res Lab, Leicester LE1 9BH, Leics, England
[2] NENU, Inst Ideal Informat & Technol, Changchun 130024, Peoples R China
[3] Shenyang Televis Univ, Shenyang 110003, Peoples R China
[4] NorthEast Normal Univ, Software Sch, Changchun 130024, Peoples R China
[5] Queens Univ Belfast, Sch Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS | 2008年
关键词：
Sequential mining; frequent pattern; itemset;
D O I：
10.1109/FSKD.2008.344
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
AprioriAll and AprioriSome are very famous algorithms for mining sequential patterns, which are used to find motifs on a fixed min-support number In this paper, we contribute a new algorithm that can find all motifs on any min-support numbers.
引用
收藏
页码：625 / +
页数：2
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