We consider suffix tree construction for situations with missing suffix links. Two examples of such situations are suffix trees for parameterized strings and suffix trees for two-dimensional arrays. These trees also have the property that the node degrees may be large. We add a new back-propagation component to McCreight's algorithm and also give a high probability hashing scheme for large degrees. We show that these two features enable construction of suffix trees for general situations with missing suffix links in O (n) time with high probability. This gives the first randomized linear time algorithm for constructing suffix trees for parameterized strings
Abstract. Suffix trees are the key data structure for text string matching, and are used in wide app...
. Information retrieval and data compression are the two main application areas where the rich theor...
AbstractThe suffix array is a data structure that finds numerous applications in string processing p...
Abstract. We consider suffix tree construction for situations with missing suffix links. Two example...
We consider suffix tree construction for situations with missing suffix links. Two examples of such ...
Abstract. Suffix trees have been established as one of the most versatile index structures for unstr...
Suffix tree is a data structure which enables the performing of fast search-like operations on the t...
A suffix tree is a fundamental data structure for string search-ing algorithms. Unfortunately, when ...
The suffix tree (or equivalently, the enhanced suffix array) provides efficient solutions to many pr...
Suffix trees and suffix arrays are fundamental full-text index data struc-tures to solve problems oc...
International audienceThe sparse suffix trees are suffix trees in which some suffixes are omitted. T...
Abstract. Suffix tree construction algorithms based on suffix links are popular because they are sim...
In 2003 three (-)(n)-time algorithms were proposed for the construction of a suffix array of a strin...
AbstractThe time complexity of suffix tree construction has been shown to be equivalent to that of s...
Abstract. We introduce the VST (virtual suffix tree), an efficient data structure for suffix trees a...
Abstract. Suffix trees are the key data structure for text string matching, and are used in wide app...
. Information retrieval and data compression are the two main application areas where the rich theor...
AbstractThe suffix array is a data structure that finds numerous applications in string processing p...
Abstract. We consider suffix tree construction for situations with missing suffix links. Two example...
We consider suffix tree construction for situations with missing suffix links. Two examples of such ...
Abstract. Suffix trees have been established as one of the most versatile index structures for unstr...
Suffix tree is a data structure which enables the performing of fast search-like operations on the t...
A suffix tree is a fundamental data structure for string search-ing algorithms. Unfortunately, when ...
The suffix tree (or equivalently, the enhanced suffix array) provides efficient solutions to many pr...
Suffix trees and suffix arrays are fundamental full-text index data struc-tures to solve problems oc...
International audienceThe sparse suffix trees are suffix trees in which some suffixes are omitted. T...
Abstract. Suffix tree construction algorithms based on suffix links are popular because they are sim...
In 2003 three (-)(n)-time algorithms were proposed for the construction of a suffix array of a strin...
AbstractThe time complexity of suffix tree construction has been shown to be equivalent to that of s...
Abstract. We introduce the VST (virtual suffix tree), an efficient data structure for suffix trees a...
Abstract. Suffix trees are the key data structure for text string matching, and are used in wide app...
. Information retrieval and data compression are the two main application areas where the rich theor...
AbstractThe suffix array is a data structure that finds numerous applications in string processing p...