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Approximation of trees by self-nested trees

Romain Azaïs 1, 2 Jean-Baptiste Durand 3 Christophe Godin 1, 2
3 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : The class of self-nested trees presents remarkable compression properties because of the systematic repetition of subtrees in their structure. In this paper, we provide a better combinatorial characterization of this specific family of trees. In particular, we show from both theoretical and practical viewpoints that complex queries can be quickly answered in self-nested trees compared to general trees. We also present an approximation algorithm of a tree by a self-nested one that can be used in fast prediction of edit distance between two trees.
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Submitted on : Friday, October 26, 2018 - 9:04:28 AM
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Romain Azaïs, Jean-Baptiste Durand, Christophe Godin. Approximation of trees by self-nested trees. ALENEX 2019 - Algorithm Engineering and Experiments, Jan 2019, San Diego, United States. pp.39-53, ⟨10.1137/1.9781611975499.4⟩. ⟨hal-01294013v3⟩



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