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A Temporal Database Compression with Differential Method

by Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 6
Year of Publication: 2012
Authors: Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta
10.5120/7356-0273

Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta . A Temporal Database Compression with Differential Method. International Journal of Computer Applications. 48, 6 ( June 2012), 65-68. DOI=10.5120/7356-0273

@article{ 10.5120/7356-0273,
author = { Sushil Kumar, Sarita S. Bhadauria, Roopam Gupta },
title = { A Temporal Database Compression with Differential Method },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 6 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 65-68 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number6/7356-0273/ },
doi = { 10.5120/7356-0273 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:26.182698+05:30
%A Sushil Kumar
%A Sarita S. Bhadauria
%A Roopam Gupta
%T A Temporal Database Compression with Differential Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 6
%P 65-68
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now days it is very tedious job to keep files for personal as well as commercial computing. There are various type of compressing technique used, but one step ahead from them available technique is described here. Almost every application the backend used is database. That why my technique is dedicated to this type of databases. In this proposed technique we consider every type of compression, but when comes to date and time based database, not much compression technique deals with it. For text type compression there are many techniques same for images. But here we are proposing mainly for time and date type data bases. The practical use for this compression may useful for LIC policies, Stock Exchange, Railways Reservations databases etc. It may also useful for Employees working in a firm, maintaining daily database for salary purposes like Time in and Time out. For this type of database the proposed technique will give a big amount of compressions than any other type of techniques. We have techniques regarding database compression are character, memo, number, date, time compression which can work for individual fields in a database. In this paper main concentration has been given for time compressions. We suggested one example in tabular form on that our differential and time method has been applied.

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Index Terms

Computer Science
Information Sciences

Keywords

Compression Compression Ratio Compression Factor Fixed Length Coding (flc) Huffman After Using Fixed Length Code (hflc) Lzw(lampel Ziv Welch) Lossy Compression Nonlossy Compression Rle (run Length Encoding) Saving Percentage Temporal Database

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