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Compressed Data Structures for Strings: On Searching and Extracting Strings from Compressed Textual Data

Compressed Data Structures for Strings: On Searching and Extracting Strings from Compressed Textual Data
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Field name Details
Dewey Class 004
Title Compressed Data Structures for Strings ([Ebook]) : On Searching and Extracting Strings from Compressed Textual Data / by Rossano Venturini.
Author Venturini, Rossano
Other name(s) SpringerLink (Online service)
Publication Paris Atlantis Press 2014.
Physical Details XIV, 118 pages: 18 illus. : online resource.
ISBN 9789462390331
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions and access ia available through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.2991/978-94-6239-033-1
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