Compressed Data Structures for Strings / Atlantis Studies in Computing Bd.4 (PDF)
On Searching and Extracting Strings from Compressed Textual Data
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autor: Rossano Venturini
- 2013, 2014, 118 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9462390339
- ISBN-13: 9789462390331
- Erscheinungsdatum: 31.10.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 2.27 MB
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Sprache:
Englisch
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