Paper Info
Title
Data Extraction Using Preprocessing Compression Based on LZW to Improve DB Performance
Abstract
The Lempel-Ziv-Welch (LZW) algorithm has provided attractive data compression for storage medium with limited space. This study is motivated to improve database performance by compressing some of its attributes using LZW compression algorithm. Simulation results show that LZW is useful for practical purposes. Data compression will speed up data transmittal since the amount of memory needed is reduced including the amount of data to be stored. Data compression provides additional level of data integrity and reliability.
Year
DOI
Venue
2011
10.1109/SERA.2011.28
SERA
Keywords
Field
DocType
preprocessing compression,additional level,data extraction,improve db performance,simulation result,data transmittal,lzw compression algorithm,data integrity,database performance,attractive data compression,limited space,data compression,practical purpose,algorithm design and analysis,dictionary,indexes,database,dictionaries,data mining,data models,database management systems
Data modeling,Data mining,Data compression ratio,Database tuning,Algorithm design,Computer science,Data integrity,Data extraction,Data compression,Adaptive coding
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Bartolome T. Tanguilig III101.35
Ariel M. Sison206.76
Bobby D. Gerardo32713.79
Yung-Cheol Byun45712.48