Analysis of tree edit distance algorithms

  • Authors:
  • Serge Dulucq;Hélène Touzet

  • Affiliations:
  • LaBRI, Université Bordeaux I, Talence cedex, France;LIFL, Université Lille 1, Villeneuve d'Ascq cedex, France

  • Venue:
  • CPM'03 Proceedings of the 14th annual conference on Combinatorial pattern matching
  • Year:
  • 2003

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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.