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Fast Bit-Vector Algorithms for Approximate String Matching Under Indel Distance

Authors: Heikki Hyyrö; Yoan J. Pinzón; Ayumi Shinohara;

Fast Bit-Vector Algorithms for Approximate String Matching Under Indel Distance

Abstract

The approximate string matching problem is to find all locations at which a query p of length m matches a substring of a text t of length n with at most k differences (insertions, deletions, substitutions). The fastest solutions in practice for this problem are the bit-parallel NFA simulation algorithms of Wu & Manber [4] and Baeza-Yates & Navarro [1], and the bit-parallel dynamic programming algorithm of Myers [3]. In this paper we present modified versions of these algorithms to deal with the restricted case where only insertions and deletions (called indel for short) are permitted. We also show test results with the algorithms.

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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!
3
Average
Average
Average
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