DocumentCode
2826423
Title
A Multi-Supports-Based Sequential Pattern Mining Algorithm
Author
Xiong, Yun ; Zhu, Yang-yong
Author_Institution
Dept. of Comput. & Inf. Technol., Fudan Univ., Shanghai
fYear
2005
fDate
21-23 Sept. 2005
Firstpage
170
Lastpage
174
Abstract
Sequential pattern mining is now widely used in various areas, such as the analysis of biological sequences, Web access patterns, customer purchase patterns and etc. In this paper, we propose a new definition for M-sequences. Also we present multiple supports: local support, total support, and distribution support for their related mining of local sequential patterns, total sequential patterns and existence sequential patterns. Based on multiple supports, a multi-supports-based sequential pattern mining algorithm is developed which can be generally applied to find such patterns
Keywords
data mining; pattern recognition; Web access pattern; biological sequences; customer purchase pattern; multisupport-based sequential pattern mining algorithm; Algorithm design and analysis; Biology computing; Data mining; Design optimization; Frequency; Information analysis; Information technology; Pattern analysis; Web page design;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7695-2432-X
Type
conf
DOI
10.1109/CIT.2005.22
Filename
1562646
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