Efficient closed pattern mining in strongly accessible set systems (extended abstract)

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many problems in data mining can be viewed as a special case of the problem of enumerating the closed elements of an independence system with respect to some specific closure operator. Motivated by real-world applications, e.g., in track mining, we consider a generalization of this problem to strongly accessible set systems and arbitrary closure operators. For this more general problem setting, the closed sets can be enumerated with polynomial delay if deciding membership in the set system and computing the closure operator can be solved in polynomial time. We discuss potential applications in graph mining.

Original languageEnglish
Title of host publicationKnowledge Discovery in Database
Subtitle of host publicationPKDD 2007 - 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings
PublisherSpringer Verlag
Pages382-389
Number of pages8
ISBN (Print)9783540749752
DOIs
StatePublished - 2007
Externally publishedYes
Event11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007 - Warsaw, Poland
Duration: 17 Sep 200721 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4702 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007
Country/TerritoryPoland
CityWarsaw
Period17/09/0721/09/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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