ItCompress: an iterative semantic compression algorithm

@article{Jagadish2004ItCompressAI,
  title={ItCompress: an iterative semantic compression algorithm},
  author={H. V. Jagadish and Raymond T. Ng and Beng Chin Ooi and Anthony K. H. Tung},
  journal={Proceedings. 20th International Conference on Data Engineering},
  year={2004},
  pages={646-657}
}
Real datasets are often large enough to necessitate data compression. Traditional 'syntactic' data compression methods treat the table as a large byte string and operate at the byte level. The tradeoff in such cases is usually between the ease of retrieval (the ease with which one can retrieve a single tuple or attribute value without decompressing a much larger unit) and the effectiveness of the compression. In this regard, the use of semantic compression has generated considerable interest… CONTINUE READING
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