The Clustered Causal State Algorithm: Efficient Pattern Discovery for Lossy Data-Compression Applications

Abstract

Pattern discovery is a potential boon for data compression, but current approaches are inefficient and produce cumbersome pattern descriptions. The clustered causal state algorithm is a new pattern-discovery algorithm that incorporates recent clustering technology 
DOI: 10.1109/MCSE.2006.98

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Cite this paper

@article{Schmiedekamp2006TheCC, title={The Clustered Causal State Algorithm: Efficient Pattern Discovery for Lossy Data-Compression Applications}, author={Mendel Schmiedekamp and Aparna Subbu and Shashi Phoha}, journal={Computing in Science & Engineering}, year={2006}, volume={8}, pages={59-67} }