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

Format:

Book

Author/Creator:

Venturini, Rossano., Author.

Series:

Atlantis Studies in Computing, 2212-8565 ; 4

Language:

English

Subjects (All):

Computer arithmetic and logic units.

Arithmetic and Logic Structures.

Local Subjects:

Arithmetic and Logic Structures.

Physical Description:

1 online resource (xiv, 118 pages) : illustrations.

Edition:

1st ed. 2014.

Place of Publication:

Paris : Atlantis Press : Imprint: Atlantis Press, 2014.

Language Note:

English

Summary:

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:

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.

Notes:

Includes bibliographical references.

"ISSN: 2212-8557."

ISBN:

9789462390331

9462390339

OCLC:

880438218