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On the Complexity of Frequent Subtree Mining in Very Simple Structures.

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Publication date27/12/2015
Host publicationSpringer Switerzland
PublisherSpringer Nature
Pages194-209
Volume9046
ISBN (electronic)978-3-319-23708-4
ISBN (print)978-3-319-23707-7
<mark>Original language</mark>Undefined/Unknown
Event24th International Conference on Inductive Logic Programming - France, Nancy
Duration: 14/09/201416/09/2014

Conference

Conference24th International Conference on Inductive Logic Programming
CityNancy
Period14/09/1416/09/14

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9046
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Conference24th International Conference on Inductive Logic Programming
CityNancy
Period14/09/1416/09/14

Abstract

We study the complexity of frequent subtree mining in very simple graphs beyond forests. We show for d-tenuous outerplanar graphs that frequent subtrees can be listed with polynomial delay if the cycle degree, i.e., the maximum number of blocks that share a common vertex, is bounded by some constant. The crucial step in the proof of this positive result is a polynomial time algorithm deciding subgraph isomorphism from trees into d-tenuous outerplanar graphs of bounded cycle degree. We obtain this algorithm by generalizing the algorithm of Shamir and Tsur that decides subgraph isomorphism between trees. Our results may also be of some interest to algorithmic graph theory, as they indicate that even for very simple structures, the cycle degree is a crucial parameter for the tractability of subgraph isomorphism. We also discuss some interesting problems towards generalizing the positive result of this work.

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