Searching for a pattern in a text file is a very common operation in many applications ranging from text editors and databases to applications in molecular biology. In many instances the pat-tern does not appear in the text exactly. Errors in the text or in the query can result from misspel-ling or from experimental errors (e.g., when the text is a DNA sequence). The use of such approximate pattern matching has been limited until now to specific applications. Most text edi-tors and searching programs do not support searching with errors because of the complexity involved in implementing it. In this paper we present a new algorithm for approximate text searching which is very fast and very flexible. We believe that the new algorithm will fin...
We improve the fastest known algorithm for approximate string matching. This algorithm can only be u...
We survey the current techniques to cope with the problem of string matching that allows errors. Thi...
This paper proposes a new method for approximate string search, specifically candidate generation in...
Searching for a pattern in a text file is a very common operation in many applications ranging from ...
This thesis focuses on the problem of text retrieval allowing errors, also called \approximate "...
Searching for a pattern in a text file is a very common operation in many applications ranging from ...
This thesis focuses on the problem of text retrieval allowing errors, also called “approximate” stri...
The paper contains a new text searching method representing modification of the Boyer-Moore algorith...
Approximate pattern matching entails finding approximate occurrences of a search pattern P in a sear...
We propose a text indexing technique for approximate pattern matching, which is practical and especi...
Approximate pattern matching entails finding approximate occurrences of a search pattern P in a sear...
We study a recent algorithm for fast on-line approximate string matching. This is the problem of sea...
The paper contains a new text searching method representing modification of the Boyer-Moore algorith...
We propose an indexing technique for approximate text searching, which is practical and powerful, an...
We propose an indexing technique for approximate text searching, which is practical and powerful, an...
We improve the fastest known algorithm for approximate string matching. This algorithm can only be u...
We survey the current techniques to cope with the problem of string matching that allows errors. Thi...
This paper proposes a new method for approximate string search, specifically candidate generation in...
Searching for a pattern in a text file is a very common operation in many applications ranging from ...
This thesis focuses on the problem of text retrieval allowing errors, also called \approximate "...
Searching for a pattern in a text file is a very common operation in many applications ranging from ...
This thesis focuses on the problem of text retrieval allowing errors, also called “approximate” stri...
The paper contains a new text searching method representing modification of the Boyer-Moore algorith...
Approximate pattern matching entails finding approximate occurrences of a search pattern P in a sear...
We propose a text indexing technique for approximate pattern matching, which is practical and especi...
Approximate pattern matching entails finding approximate occurrences of a search pattern P in a sear...
We study a recent algorithm for fast on-line approximate string matching. This is the problem of sea...
The paper contains a new text searching method representing modification of the Boyer-Moore algorith...
We propose an indexing technique for approximate text searching, which is practical and powerful, an...
We propose an indexing technique for approximate text searching, which is practical and powerful, an...
We improve the fastest known algorithm for approximate string matching. This algorithm can only be u...
We survey the current techniques to cope with the problem of string matching that allows errors. Thi...
This paper proposes a new method for approximate string search, specifically candidate generation in...