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Approximate Multiple Pattern String Matching using Bit Parallelism: A Review

by Syed Danish Ali, Zuber Farooqui
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 19
Year of Publication: 2013
Authors: Syed Danish Ali, Zuber Farooqui
10.5120/13006-0312

Syed Danish Ali, Zuber Farooqui . Approximate Multiple Pattern String Matching using Bit Parallelism: A Review. International Journal of Computer Applications. 74, 19 ( July 2013), 47-51. DOI=10.5120/13006-0312

@article{ 10.5120/13006-0312,
author = { Syed Danish Ali, Zuber Farooqui },
title = { Approximate Multiple Pattern String Matching using Bit Parallelism: A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 19 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number19/13006-0312/ },
doi = { 10.5120/13006-0312 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:46.818488+05:30
%A Syed Danish Ali
%A Zuber Farooqui
%T Approximate Multiple Pattern String Matching using Bit Parallelism: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 19
%P 47-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

String matching is to find all the occurrences of a given pattern in a large text both being sequence of characters drawn from finite alphabet set. Approximate String Matching involves the detection of correct patterns along with the detection of some wrong patterns inside the text. Bit Parallelism is a feature that can be used to detect patterns inside the text and is reported to result in more efficient approximate string matching. Bit parallelism enhances the processing speed of the approximate string matching algorithm as it takes the benefit of the internal bit operations taking place in parallel inside the system. The bit parallel method has also been compared with the traditional Aho Corasick Algorithms which consumes more time and memory. In general bit parallel are both memory and time efficient.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Approximate String matching Bit parallelism Shift OR String Matching

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