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{|∑P|2 n log m, n(m log m) 2/3}) 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{|∑P|2 n log m, n √m log m}). © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Porat, B., Porat, E., & Zur, A. (2008). Pattern matching with pair correlation distance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5280 LNCS, pp. 249–256). Springer Verlag. https://doi.org/10.1007/978-3-540-89097-3_24
Mendeley helps you to discover research relevant for your work.