The task of approximate string matching is to find all locations at which a pattern string p of length m matches a substring of a text string t of length n with at most k differences. It is common to use Lev-enshtein distance, which allows the differences to be single-character insertions, deletions, substitutions. Recently, in [3], the IndelMYE, In-delWM and IndelBYN algorithms where introduced as modified version of the bit-parallel algorithms of Myers, Wu&Manber and Baeza-Yates&Navarro, respectively. These modified versions where made to support the indel distance (only single-character insertions and/or deletions are allowed). In this paper we present an improved version of IndelMYE that makes a better use of the bit-operations and runs 24.5 percent faster in practice. In the end we present a complete set of experimental results to support our findings.
展开▼
