Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Compression of small text files
Advanced Engineering Informatics, Volume 22, No. 3, Year 2008
Notification
URL copied to clipboard!
Description
This paper suggests a novel compression scheme for small text files. The proposed scheme depends on Boolean minimization of binary data accompanied with the adoption of Burrows-Wheeler transformation (BWT) algorithm. Compression of small text files must fulfil special requirements since they have small context. The use of Boolean minimization and Burrows-Wheeler transformation generate better context information for compression with standard algorithms. We tested the suggested scheme on collections of small and medium-sized files. The testing results showed that proposed scheme improve the compression ratio over other existing methods. © 2008 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Platoš, Jan
Czech Republic, Ostrava
Vsb – Technical University of Ostrava
Snášel, Václav
Czech Republic, Ostrava
Vsb – Technical University of Ostrava
El-Qawasmeh, Eyas A.
Jordan, Irbid
Jordan University of Science and Technology
Statistics
Citations: 28
Authors: 3
Affiliations: 2
Identifiers
Doi:
10.1016/j.aei.2008.05.001
ISSN:
14740346