Vai al contenuto principale della pagina

Compressed Data Structures for Strings : On Searching and Extracting Strings from Compressed Textual Data / / by Rossano Venturini



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Venturini Rossano Visualizza persona
Titolo: Compressed Data Structures for Strings : On Searching and Extracting Strings from Compressed Textual Data / / by Rossano Venturini Visualizza cluster
Pubblicazione: Paris : , : Atlantis Press : , : Imprint : Atlantis Press, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (xiv, 118 pages) : illustrations
Disciplina: 005.746
Soggetto topico: Computer arithmetic and logic units
Arithmetic and Logic Structures
Note generali: "ISSN: 2212-8557."
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Basic concepts -- Optimally partitioning a text to improve its compression -- Bit-complexity of Lempel-Ziv compression -- Fast random access on compressed data -- Experiments on compressed full-text indexing -- Dictionary indexes -- Future directions of research.
Sommario/riassunto: Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.
Titolo autorizzato: Compressed data structures for strings  Visualizza cluster
ISBN: 9789462390331
9462390339
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300143103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Atlantis Studies in Computing, . 2212-8565 ; ; 4