Improving table compression with combinatorial optimization

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2 Improving Table Compression with Combinatorial Optimization ∗

We study the problem of compressing massive tables within the partition-training paradigm introduced by Buchsbaum et al. [SODA’00], in which a table is partitioned by an off-line training procedure into disjoint intervals of columns, each of which is compressed separately by a standard, on-line compressor like gzip. We provide a new theory that unifies previous experimental observations on part...

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ژورنال

عنوان ژورنال: Journal of the ACM

سال: 2003

ISSN: 0004-5411,1557-735X

DOI: 10.1145/950620.950622