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

Date

2014-12

Authors

Mukka, Hari Santhosh Manikanta Kumar

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Abstract

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.

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Genetic, Exhaustive

Citation

Mukka, H. S. M. K. (2014). <i>Customized data compression: automatically synthesizing effective data compression and decompression algorithms</i> (Unpublished thesis). Texas State University, San Marcos, Texas.

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