Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms

With the exponential increase in the amount of data humans are generating, there is a progressive need for developing effective high-speed data compression techniques. However, developing an algorithm that just compresses data well is not sufficient. A good compression technique should also minimize the compression and decompression time. This project focuses on automatically synthesizing compression and decompression algorithms for a given data type. In particular, it employs search techniques to mix and match different transformation, prediction, and encoding components to determine the most efficient configurations.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Computer Science

Grantor

Texas State University

Year dc:date.issued

2014

Author dc:creator

• Mukka, Hari Santhosh Manikanta Kumar

Advisor dc:contributor.advisor

• Burtscher, Martin

Committee members dc:contributor.committeemember

• Ngu, Anne H.H.
• Tamir, Dan E.

• computer science
• algorithms
• programming
• genetic
• exhaustive

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10877/5379

OAI identifier oai:identifier

oai:digital.library.txst.edu:10877/5379