@inbook{727d1ca13ff5438eab90811e2ebb8ce5,
title = "Pattern Matching with Pair Correlation Distance",
abstract = "In pattern matching with pair correlation distance problem, the goal is to find all occurrences of a pattern P of length m, in a text T of length n, where the distance between them is less than a threshold k. For each text location i, the distance is defined as the number of different kinds of mismatched pairs (α,β), between P and T[i ...i + m]. We present an algorithm with running time of O(min{|ΣP|2nlogm,n(mlogm)23})O(min{|ΣP|2nlogm,n(mlogm)23}) for this problem. Another interesting problem is the one-side pair correlation distance where it is desired to find all occurrences of P where the number of mismatched characters in P is less than k. For this problem, we present an algorithm with running time of O(min{|ΣP|nlogm,nmlogm−−−−−−−√})O(min{|ΣP|nlogm,nmlogm}).",
author = "Benny Porat and E. Porat and Asaf Zur",
year = "2008",
language = "American English",
isbn = "978-3-540-89097-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "249--256",
editor = "Amihood Amir and Andrew Turpin and Alistair Moffat",
booktitle = "String Processing and Information Retrieval",
}