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
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