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

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2015) On the Complexity of Frequent Subtree Mining in Very Simple Structures. In: Springer Switerzland :. Lecture Notes in Computer Science, 9046 . Springer Nature, Nancy, pp. 194-209. ISBN 978-3-319-23707-7

Full text not available from this repository.

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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
ID Code:
228786
Deposited By:
Deposited On:
11 Apr 2025 00:03
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Apr 2025 00:03