A new string-pattern matching algorithm using partitioning and hashing efficiently

Abstract

In this paper, we present a new string-pattern matching algorithm that partitions the text into segments of the input pattern length and searches for pattern occurrences using a simple hashing scheme. Unlike the well known Boyer-Moore style algorithm, our algorithm does not compute variable shift length, thus providing a conceptually simpler way to search for patterns. Empirical evaluation shows that our algorithm runs significantly faster than Sunday's and Horspool's extensions of the Boyer-Moore algorithm. The notion of the non-occurrence heuristic used in our algorithm, together with a text partitioning scheme, leads to a simplified scheme for searching for pattern occurrences, thus yielding better run time performance.