Faster algorithms for string matching with k mismatches

Research output: Contribution to conferencePaperpeer-review

51 Scopus citations

Abstract

The string matching with mismatches problem is that of finding the number of mismatches between pattern P of length m and every length m substring of the text T. Currently, the best algorithms for this problem are the following. The Landau-Vishkin algorithm finds all locations where the pattern has at most k errors (where k is part of the input) in time O(nk). The Abrahamson algorithm finds the number of mismatches at every location in time O(n√m log m). We present an algorithm that is faster than both. Our algorithm finds all locations where the pattern has at most k errors in time O(n√k log k). We also show an algorithm that solves the above problem in time O((n+nk3/m) log k).

Original languageEnglish
Pages794-803
Number of pages10
StatePublished - 2000
Event11th Annual ACM-SIAM Symposium on Discrete Algorithms - San Francisco, CA, USA
Duration: 9 Jan 200011 Jan 2000

Conference

Conference11th Annual ACM-SIAM Symposium on Discrete Algorithms
CitySan Francisco, CA, USA
Period9/01/0011/01/00

Bibliographical note

Funding Information:
* Corresponding author. E-mail addresses: [email protected] (A. Amir), [email protected] (M. Lewenstein), [email protected] (E. Porat). 1 Partially supported by NSF grant CCR-96-10170, BSF grant 96-00509, and a BIU internal research grant.

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