DocumentCode :
2055172
Title :
A novel algorithm for online exact string matching
Author :
Sahota, Vijay ; Maozhen Li ; Bayford, Richard
Author_Institution :
Canterbury Christ Church Univ., Canterbury, UK
fYear :
2013
fDate :
29-31 Aug. 2013
Firstpage :
291
Lastpage :
295
Abstract :
A new algorithm is presented which takes advantage of the statistical distribution of characters within the search pattern to eliminate any computational processes during the search phase. Through pre-processing the search pattern a look up table is generated which incorporates the entire shifting rules of the algorithm. Preliminary results shows the new algorithm out performing existing general algorithms, as the pattern becomes large for natural English text and when searching a small alphabet source (DNA).
Keywords :
natural language processing; statistical distributions; string matching; text analysis; DNA; alphabet source; look up table; natural English text; online exact string matching; search pattern preprocessing; search phase; shifting rules; statistical distribution; Algorithm design and analysis; DNA; Data structures; Memory management; Pattern matching; Search problems; Statistical distributions; Experimental comparison; Look up table; Pattern Search; String matching; on-line algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Technology (INTECH), 2013 Third International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-0047-3
Type :
conf
DOI :
10.1109/INTECH.2013.6653702
Filename :
6653702
Link To Document :
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