Data compression via textual substitution
Journal of the ACM (JACM)
Experiments in text file compression
Communications of the ACM
General-purpose compression for efficient retrieval
Journal of the American Society for Information Science and Technology
Data Compression Using Long Common Strings
DCC '99 Proceedings of the Conference on Data Compression
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Journal of Automata, Languages and Combinatorics - Special issue: Selected papers of the 13th Australasian workshop on combinatorial algorithms
PPM with the extended alphabet
Information Sciences: an International Journal
Improving semistatic compression via phrase-based modeling
Information Processing and Management: an International Journal
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Recently several offline data compression schemes have been published that expend large amounts of computing resources when encoding a file, but decode the file quickly. These compressors work by identifying phrases in the input data, and storing the data as a series of pointer to these phrases. This paper explores the application of an algorithm for computing all repeating substrings within a string for phrase selection in an offline data compressor. Using our approach, we obtain compression similar to that of the best known offline compressors on genetic data, but poor results on general text. It seems, however, that an alternate approach based on selecting repeating substrings is feasible.