activity
20202025
collaborators

14 papers

cs.DS2025

Fast Pattern Matching with Epsilon Transitions

Nicola Cotumaccio

In the String Matching in Labeled Graphs (SMLG) problem, we need to determine whether a pattern string appears on a given labeled graph or a given automaton. Under the Orthogonal V…

cs.DS2025

Improved Circular Dictionary Matching

Nicola Cotumaccio

The circular dictionary matching problem is an extension of the classical dictionary matching problem where every string in the dictionary is interpreted as a circular string: afte…

cs.DS2025

Encoding Co-Lex Orders of Finite-State Automata in Linear Space

Ruben Becker, Nicola Cotumaccio, Sung-Hwan Kim +2

The Burrows-Wheeler transform (BWT) is a string transformation that enhances string indexing and compressibility. Cotumaccio and Prezza [SODA '21] extended this transformation to n…

cs.DS2024

Enhanced Graph Pattern Matching

Nicola Cotumaccio

Pattern matching queries on strings can be solved in linear time by Knuth-Morris-Pratt (KMP) algorithm. In 1973, Weiner introduced the suffix tree of a string [FOCS 1973] and showe…

cs.DS2023

Space-time Trade-offs for the LCP Array of Wheeler DFAs

Nicola Cotumaccio, Travis Gagie, Dominik Köppl +1

Recently, Conte et al. generalized the longest-common prefix (LCP) array from strings to Wheeler DFAs, and they showed that it can be used to efficiently determine matching statist…

cs.DS2023

Prefix Sorting DFAs: a Recursive Algorithm

Nicola Cotumaccio

In the past thirty years, numerous algorithms for building the suffix array of a string have been proposed. In 2021, the notion of suffix array was extended from strings to DFAs, a…

cs.FL2023

A Myhill-Nerode Theorem for Generalized Automata, with Applications to Pattern Matching and Compression

Nicola Cotumaccio

The model of generalized automata, introduced by Eilenberg in 1974, allows representing a regular language more concisely than conventional automata by allowing edges to be labeled…

cs.DS2023

Computing matching statistics on Wheeler DFAs

Alessio Conte, Nicola Cotumaccio, Travis Gagie +3

Matching statistics were introduced to solve the approximate string matching problem, which is a recurrent subroutine in bioinformatics applications. In 2010, Ohlebusch et al. [SPI…

cs.FL2022

Co-lexicographically Ordering Automata and Regular Languages -- Part I

Nicola Cotumaccio, Giovanna D'Agostino, Alberto Policriti +1

In the present work, we lay out a new theory showing that all automata can always be co-lexicographically partially ordered, and an intrinsic measure of their complexity can be def…

cs.DS2021

Graphs can be succinctly indexed for pattern matching in time

Nicola Cotumaccio

For the first time we provide a succinct pattern matching index for arbitrary graphs that can be built in polynomial time, which requires less space and answers queries more effici…

cs.DS2021

Linear-time Minimization of Wheeler DFAs

Jarno Alanko, Nicola Cotumaccio, Nicola Prezza

Wheeler DFAs (WDFAs) are a sub-class of finite-state automata which is playing an important role in the emerging field of compressed data structures: as opposed to general automata…

cs.FL2021

On (co-lex) Ordering Automata

Giovanna D'Agostino, Nicola Cotumaccio, Alberto Policriti +1

The states of a deterministic finite automaton A can be identified with collections of words in Pf(L(A)) -- the set of prefixes of words belonging to the regular language accepted…

cs.FL2021

Co-lexicographically Ordering Automata and Regular Languages -- Part II

Nicola Cotumaccio, Giovanna D'Agostino, Alberto Policriti +1

In the present work, we tackle the regular language indexing problem by first studying the hierarchy of -sortable languages: regular languages accepted by automata of width .…

cs.DS2020

On Indexing and Compressing Finite Automata

Nicola Cotumaccio, Nicola Prezza

An index for a finite automaton is a powerful data structure that supports locating paths labeled with a query pattern, thus solving pattern matching on the underlying regular lang…