Algorithms for string pattern discovery

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pattern discovery from string data is an important problem with many applications. In this paper, we give a brief overview of our work on the optimal correlated pattern discovery problem, which integrates numerical attribute information into the string pattern discovery process.

Original languageEnglish
Title of host publicationModeling Decisions for Artificial Intelligence - 4th International Conference, MDAI 2007, Proceedings
Pages24-29
Number of pages6
Publication statusPublished - Dec 24 2007
Event4th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2007 - Kitakyushu, Japan
Duration: Aug 16 2007Aug 18 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4617 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2007
CountryJapan
CityKitakyushu
Period8/16/078/18/07

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bannai, H. (2007). Algorithms for string pattern discovery. In Modeling Decisions for Artificial Intelligence - 4th International Conference, MDAI 2007, Proceedings (pp. 24-29). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4617 LNAI).