Mining frequent closed unordered trees through natural representations

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Abstract

Many knowledge representation mechanisms consist of link-based structures; they may be studied formally by means of unordered trees. Here we consider the case where labels on the nodes are nonexistent or unreliable, and propose data mining processes focusing on just the link structure. We propose a representation of ordered trees, describe a combinatorial characterization and some properties, and use them to propose an efficient algorithm for mining frequent closed subtrees from a set of input trees. Then we focus on unordered trees, and show that intrinsic characterizations of our representation provide for a way of avoiding the repeated exploration of unordered trees, and then we give an efficient algorithm for mining frequent closed unordered trees.

Original languageEnglish
Title of host publicationConceptual Structures
Subtitle of host publicationKnowledge Architectures for Smart Applications - 15th International Conference on Conceptual Structures, ICCS 2007, Proceedings
PublisherSpringer Verlag
Pages347-359
Number of pages13
ISBN (Print)9783540736806
DOIs
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event15th International Conference on Conceptual Structures, ICCS 2007 - Sheffield, United Kingdom
Duration: 22 Jul 200727 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4604 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Conceptual Structures, ICCS 2007
Country/TerritoryUnited Kingdom
CitySheffield
Period22/07/0727/07/07

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