Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Compressed Data Structures for Strings
On Searching and Extracting Strings from Compressed Textual Data
Buch von Rossano Venturini
Sprache: Englisch

53,49 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Aktuell nicht verfügbar

Kategorien:
Beschreibung
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.
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.
Zusammenfassung

Presents new results to improve data compression by solving optimization problems

Presents efficient solutions to pattern matching problems in compressed space

Nice balance of theoretical achievements and algorithm-engineering results for compressed data structures

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2013
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Atlantis Studies in Computing
Inhalt: xiv
118 S.
18 s/w Illustr.
118 p. 18 illus.
ISBN-13: 9789462390324
ISBN-10: 9462390320
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Venturini, Rossano
Hersteller: Atlantis Press
Atlantis Studies in Computing
Maße: 241 x 160 x 13 mm
Von/Mit: Rossano Venturini
Erscheinungsdatum: 18.11.2013
Gewicht: 0,371 kg
Artikel-ID: 105646582
Zusammenfassung

Presents new results to improve data compression by solving optimization problems

Presents efficient solutions to pattern matching problems in compressed space

Nice balance of theoretical achievements and algorithm-engineering results for compressed data structures

Includes supplementary material: [...]

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2013
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Atlantis Studies in Computing
Inhalt: xiv
118 S.
18 s/w Illustr.
118 p. 18 illus.
ISBN-13: 9789462390324
ISBN-10: 9462390320
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Venturini, Rossano
Hersteller: Atlantis Press
Atlantis Studies in Computing
Maße: 241 x 160 x 13 mm
Von/Mit: Rossano Venturini
Erscheinungsdatum: 18.11.2013
Gewicht: 0,371 kg
Artikel-ID: 105646582
Warnhinweis