Compressed Data Structures for Strings: On Searching and Extracting Strings from Compressed Textual Data: 4 (Atlantis Studies in Computing, 4)

Venturini, Rossano

ISBN 10: 9462390320 / ISBN 13: 9789462390324

Published by Atlantis Press, 2013

About this Item

This volume tackles the conflicting requirements of data compression and indexing in massive datasets, by using optimization techniques to improve compression and reconfiguring data structure to increase the efficiency, and speed, of pattern-matching queries. Series: Atlantis Studies in Computing. Num Pages: 132 pages, 18 black & white illustrations, 6 black & white tables, biography. BIC Classification: UMB; UYF. Category: (P) Professional & Vocational. Dimension: 167 x 241 x 13. Weight in Grams: 368. . 2013. 2014th Edition. hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9789462390324

Bibliographic Details

• Title: Compressed Data Structures for Strings: On Searching and Extracting Strings from Compressed Textual Data: 4 (Atlantis Studies in Computing, 4)
• Publisher: Atlantis Press
• Publication Date: 2013
• Language: English
• ISBN 10: 9462390320
• ISBN 13: 9789462390324
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.