Abstract. In this article we introduce new variants of the edit distance string similarity measure, where apart from the traditional insertion, deletion and substitution operations, two new operations are supported. The first one is called a combination and it allows two or more symbols from one string, to be “matched ” against one symbol of the other. The dual of a combination, is the operation of a split, where one symbol from the first string is broken down into a sequence of two or more other symbols, that can then be matched against an equal number of symbols from the second string. The notions of combining and splitting symbols can be defined in a variety of ways, depending on how the application in hand defines similarity. Here we in...
There are many types of sequences on which classification algorithms are applied. Sequences of symbo...
The first step prior to data mining is often to merge databases from different sources. Entries in t...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
Abstract. In this article we introduce new variants of the edit distance string sim-ilarity measure,...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions, ...
Abstract Background The problem of approximate string matching is important in many different areas ...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The edit distance between strings a1 … am and b1 … bn is the minimum cost s of a sequence of editing...
AbstractMost research on the edit distance problem and thek-differences problem considered the set o...
In many applications, it is necessary to determine the similarity of two strings. A widely-used noti...
A common model for computing the similarity of two stringsXandYof lengthsm, andnrespectively with n,...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
This paper proposes an approximate string matching with k-mismatches when calculating the generalize...
There are many types of sequences on which classification algorithms are applied. Sequences of symbo...
The first step prior to data mining is often to merge databases from different sources. Entries in t...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...
Abstract. In this article we introduce new variants of the edit distance string sim-ilarity measure,...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions, ...
Abstract Background The problem of approximate string matching is important in many different areas ...
Edit distance is a powerful measure of similarity in string matching, measuring the minimum amount o...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The edit distance between strings a1 … am and b1 … bn is the minimum cost s of a sequence of editing...
AbstractMost research on the edit distance problem and thek-differences problem considered the set o...
In many applications, it is necessary to determine the similarity of two strings. A widely-used noti...
A common model for computing the similarity of two stringsXandYof lengthsm, andnrespectively with n,...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
This paper proposes an approximate string matching with k-mismatches when calculating the generalize...
There are many types of sequences on which classification algorithms are applied. Sequences of symbo...
The first step prior to data mining is often to merge databases from different sources. Entries in t...
[[abstract]]We propose a new algorithm for computing the edit distance of an uncompressed string aga...