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Title of Journal: Algorithmica

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Abbravation: Algorithmica

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Springer-Verlag

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10.1002/chin.199313115

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1432-0541

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Approximate BoyerMoore String Matching for Small

Authors: Leena Salmela Jorma Tarhio Petri Kalsi
Publish Date: 2009/02/18
Volume: 58, Issue: 3, Pages: 591-609
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Abstract

Recently a new variation of approximate BoyerMoore string matching was presented for the kmismatch problem The variation called FAAST is specifically tuned for small alphabets We further improve this algorithm gaining speedups in both preprocessing and searching We also present three variations of the algorithm for the kdifference problem We show that the searching time of the algorithms is averageoptimal and the preprocessing also has a lower time complexity than FAAST Our experiments show that our algorithm for the kmismatch problem is about 30 faster than FAAST and the new algorithms compare well against other stateoftheart algorithms for approximate string matching

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