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Improved Approximate String Matching and Regular Expression Matching on Ziv-Lempel Compressed Texts

Philip Bille·Rolf Fagerberg·Inge Li Goertz
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Abstract

We study the approximate string matching and regular expression matching problem for the case when the text to be searched is compressed with the Ziv-Lempel adaptive dictionary compression schemes. We present a time-space trade-off that leads to algorithms improving the previously known complexities for both problems. In particular, we significantly improve the space bounds, which in practical applications are likely to be a bottleneck.

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Philip Bille, Rolf Fagerberg, Inge Li Goertz. 2007-05-03. Improved Approximate String Matching and Regular Expression Matching on Ziv-Lempel Compressed Texts. https://arxiv.org/abs/cs/0609085

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