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On the Complexity of Frequent Subtree Mining in Very Simple Structures

机译:关于频繁的子树挖掘在非常简单的结构中的复杂性

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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.
机译:我们研究了森林超越的非常简单的图形中频繁的子树挖掘的复杂性。我们展示了D-Tenfenual OuterPlanar图表,如果循环度,即共享公共顶点的块的最大块数,则可以使用多项式延迟列出多项式的子树。证明该阳性结果的关键步骤是将来自树木的子图同构的多项式时间算法决定为有界循环度的D-脆弱的外部图形图。我们通过概括Shamir和TSUR算法来获得该算法,该算法决定树之间的子图同构。我们的结果也可能对算法图理论有何感兴趣,因为它们表明即使对于非常简单的结构,循环度也是子图同样的遗传性的关键参数。我们还讨论了一些有趣的问题,以概括这项工作的积极结果。

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