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arXiv · 1301.3488

Various improvements to text fingerprinting

Abstract

Let s = s_1 .. s_n be a text (or sequence) on a finite alphabet Σof size σ. A fingerprint in s is the set of distinct characters appearing in one of its substrings. The problem considered here is to compute the set {\cal F} of all fingerprints of all substrings of s in order to answer efficiently certain questions on this set. A substring s_i .. s_j is a maximal location for a fingerprint f in F (denoted by ) if the alphabet of s_i .. s_j is f and s_{i-1}, s_{j+1}, if defined, are not in f. The set of maximal locations ins is {\cal L} (it is easy to see that |{\cal L}| \leq n σ). Two maximal locations and such that s_i .. s_j = s_k .. s_l are named {\em copies}, and the quotient set of {\cal L} according to the copy relation is denoted by {\cal L}_C. We present new exact and approximate efficient algorithms and data structures for the following three problems: (1) to compute {\cal F}; (2) given f as a set of distinct characters in Σ, to answer if f represents a fingerprint in {\cal F}; (3) given f, to find all maximal locations of f in s.

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BibTeXRIS

Djamal Belazzougui, Roman Kolpakov, Mathieu Raffinot. 2013-01-15. Various improvements to text fingerprinting. https://arxiv.org/abs/1301.3488

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