Improving semantic compression specification in large relational database

Author:

Darwish Saad Mohamed1

Affiliation:

1. Department of Information Technology Institute of Graduate Studies and Research, Alexandria University 163 Horreya Avenue, El-Shatby, P.O. Box 832 Alexandria 21526 Egypt

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Reference26 articles.

1. Aghav S.: ‘Database compression techniques for performance optimization’.Proc. IEEE Second Int. Conf. on Computer Engineering and Technology (ICCET) 2010 vol.6 pp.714–717

2. Cannane A. Williams H.: ‘A compression scheme for large databases’.Proc. IEEE 11th Database Conf. Australasian 2000 pp.6–11

3. Chen Z.: ‘Building compressed database systems’. PhD dissertation Cornell University 2002

4. Hoque A. McGregor D. Wilson J.: ‘Database compression using an offline dictionary method’.Advances in Information Systems 2002 pp.11–20

5. Karumbunathan A.: ‘Using predictive models for compression in database systems’. Technical Report CIT 367 Brown University USA 2013 pp.1–12

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3. LBFM: Multi-Dimensional Membership Index for Block-Level Data Skipping;2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC);2017-12

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