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Analysis of Tree Edit Distance Algorithms

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2676))

Abstract

In this article, we study the behaviour of dynamic programming methods for the tree edit distance problem, such as [4] and [2]. We show that those two algorithms may be described in a more general framework of cover strategies. This analysis allows us to define a new tree edit distance algorithm, that is optimal for cover strategies.

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References

  1. S. Chawathe, “Comparing hierarchical data in external memory” Proceedings of the Twenty-fifth International Conference on Very Large Data Bases (1999), Edinburgh, Scotland, p. 90–101.

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  2. P. Klein, “Computing the edit-distance between unrooted ordered trees” Proceeding of 6th European Symposium on Algorithms (1998), p. 91–102.

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  3. B. Shapiro and K. Zhang, “Comparing multiple RNA secondary structures using tree comparisons”, Comput. Appl. Biosciences, Vol.4, 3 (1988), p. 387–393.

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  4. K. Zhang and D. Shasha, “Simple fast algorithms for the editing distance between trees and related problems” SIAM Journal of Computing, Vol 18-6, (1989), p. 1245–1262.

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© 2003 Springer-Verlag Berlin Heidelberg

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Dulucq, S., Touzet, H. (2003). Analysis of Tree Edit Distance Algorithms. In: Baeza-Yates, R., Chávez, E., Crochemore, M. (eds) Combinatorial Pattern Matching. CPM 2003. Lecture Notes in Computer Science, vol 2676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44888-8_7

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  • DOI: https://doi.org/10.1007/3-540-44888-8_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40311-1

  • Online ISBN: 978-3-540-44888-4

  • eBook Packages: Springer Book Archive

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