Abstract
Information retrieval and data compression are the two main application areas where the rich theory of string algorithmics plays a fundamental role. In this paper, we consider one algorithmic problem from each of these areas and present highly efficient (linear or near linear time) algorithms for both problems. Our algorithms rely on augmenting the suffix tree, a fundamental data structure in string algorithmics. The augmentations are nontrivial and they form the technical crux of this paper. In particular, they consist of adding extra edges to suffix trees, resulting in Directed Acyclic Graphs (DAGs). Our algorithms construct these “suffix DAGs” and manipulate them to solve the two problems efficiently.
Partly supported by Alon Fellowship.
Partly supported by ESPRIT LTR Project no. 20244 - ALCOM IT.
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© 1998 Springer-Verlag Berlin Heidelberg
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Matias, Y., Muthukrishnan, S., Sahinalp, S.C., Ziv, J. (1998). Augmenting Suffix Trees, with Applications. In: Bilardi, G., Italiano, G.F., Pietracaprina, A., Pucci, G. (eds) Algorithms — ESA’ 98. ESA 1998. Lecture Notes in Computer Science, vol 1461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68530-8_6
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DOI: https://doi.org/10.1007/3-540-68530-8_6
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