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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Efficient bit-parallel multi-patterns string matching algorithms for limited expression

Authors: Rajesh Prasad; Suneeta Agarwal; Ishadutta Yadav; Bharat Singh;

Efficient bit-parallel multi-patterns string matching algorithms for limited expression

Abstract

The problem of searching occurrences of a pattern P[0...m-1] in the text T[0...n-1] with m ≤ n, where the symbols of P and T are drawn from some alphabet Σ of size σ, is called exact string matching problem. The problem of searching a set of patterns P0, P1, P2...Pr-1, r ≥ 1, in the given text T is called multi-pattern string matching problem. This problem has been previously solved by bit-parallel strings matching algorithms: shift-or and Backward non-deterministic DAWG matching (BNDM). In this paper, we extend BNDM algorithm with q-gram (B. Durian et al., 2008) for multiple patterns, where patterns are taken as "limited expressions". We define limited expression as subset of extended patterns excluding regular expression, optional and repeatable characters. Some examples are: patterns in case sensitive, patterns containing classes of characters etc. The set of r multiple patterns can be handled by converting into single pattern P by using either classes of characters or concatenating the characters of each patterns. We assume that each pattern is of equal size m and total length of pattern (after pre-processing) is less than or equal to word length (w) of computer used. We compare the performance of multi-patterns q-gram BNDM algorithm with already existing BNDM algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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