DocumentCode :
1834470
Title :
Efficient multi-attribute pattern matching using the extended Aho-Corasick method
Author :
Ando, Kazuaki ; Okada, Makoto ; Shishibori, Masami ; Aoe, Jun-Ichi
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Volume :
4
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
3936
Abstract :
The paper describes an efficient multi attribute pattern matching machine using the extended Aho-Corasick method (A.V. Aho and M.J. Corasick, 1975) to locate all occurrences of any of a finite number of the sequence of rule structures (called matching rules) in a sequence of input structures. The proposed algorithm enables us to match set representations containing multiple attributes. Therefore, in the proposed algorithm, confirming transition is decided by the relationship, whether the input structure includes the rule structure or not. It consists of constructing a finite state pattern matching machine from matching rules and then using the pattern matching machine to process the sequence of input structures in a single pass. Finally, the pattern matching algorithm is evaluated by theoretical evaluations and the experimental evaluations that are supported by the simulation results with rules for the extraction of keywords
Keywords :
finite state machines; knowledge based systems; pattern matching; string matching; extended Aho-Corasick method; finite number; finite state pattern matching machine; input structure; input structures; keyword extraction; matching rules; multi attribute pattern matching machine; multiple attributes; pattern matching algorithm; rule structure; rule structures; set representations; AC machines; Data mining; Information processing; Information science; Intelligent structures; Intelligent systems; Machine intelligence; Pattern analysis; Pattern matching; Speech analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.633286
Filename :
633286
Link To Document :
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