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Engineering the compression of massive tables: an experimental approach

SODA, pp.175-184, (2000)

Cited: 77|Views46
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Abstract

We study the problem of compressing massive tables. We devise a novel compression paradigm - training for lossless compression - which assumes that the data exhibit dependencies that can be learned by examining a small amount of training material. We develop an experimental methodology to test the approach. Our result is a system, pzip, w...More

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