This paper proposes an approximate string matching with k-mismatches when calculating the generalized edit distance. When the edit distance is generalized, more sophisticated string matching can be provided. However, the execution time increases because of the bundle of complex computations for calculating complicated edit distances. The computational costs for finding which steps or edit distances are over k-mismatches cannot be significant in the generalized edit distance metric. Therefore, we can reduce the execution time by determining steps over k-mismatches and then skipping them. The diagonal step calculations using the pruning register skips unnecessary distance calculations over k-mismatches. The overhead of control statements and ...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
AbstractTwo improved algorithms for string matching with k mismatches are presented. One algorithm i...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
AbstractMost research on the edit distance problem and thek-differences problem considered the set o...
The edit distance between strings a1 … am and b1 … bn is the minimum cost s of a sequence of editing...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
AbstractThere is no known algorithm that solves the general case of the approximate edit distance pr...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
Abstract Background The problem of approximate string matching is important in many different areas ...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
The edit distance between given two strings X and Y is the minimum number of edit operations that tr...
Abstract. In this article we introduce new variants of the edit distance string similarity measure, ...
Abstract. In this article we introduce new variants of the edit distance string sim-ilarity measure,...
A common model for computing the similarity of two stringsXandYof lengthsm, andnrespectively with n,...
This paper deals with the problem of estimating a transmitted string Xs from the corresponding recei...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
AbstractTwo improved algorithms for string matching with k mismatches are presented. One algorithm i...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
AbstractMost research on the edit distance problem and thek-differences problem considered the set o...
The edit distance between strings a1 … am and b1 … bn is the minimum cost s of a sequence of editing...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
AbstractThere is no known algorithm that solves the general case of the approximate edit distance pr...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
Abstract Background The problem of approximate string matching is important in many different areas ...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
The edit distance between given two strings X and Y is the minimum number of edit operations that tr...
Abstract. In this article we introduce new variants of the edit distance string similarity measure, ...
Abstract. In this article we introduce new variants of the edit distance string sim-ilarity measure,...
A common model for computing the similarity of two stringsXandYof lengthsm, andnrespectively with n,...
This paper deals with the problem of estimating a transmitted string Xs from the corresponding recei...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
AbstractTwo improved algorithms for string matching with k mismatches are presented. One algorithm i...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...