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Data Mining of Time-Series Medical Data by Formal Concept Analysis

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

Abstract

This paper presents a method for clustering time-series medical data based on Formal Concept Analysis. We made a prototype system, and verified it by applying it to several medical cases. Our clusters can be explicitly provided with more convincing meanings, with the help of FCA. We plan to continue, and to verify the practicality of this method by applying it to hundreds of medical cases.

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References

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Author information

Authors and Affiliations

  1. School of Knowledge Science Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi-City, Ishikawa 923-1292, Japan

    Kenji Sato & Susumu Kunifuji

  2. Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9, Sapporo 060-0814, Japan

    Yoshiaki Okubo & Makoto Haraguchi

Authors
  1. Kenji Sato
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  2. Yoshiaki Okubo
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  3. Makoto Haraguchi
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  4. Susumu Kunifuji
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Centre for SMART Systems, School of Engineering, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Sato, K., Okubo, Y., Haraguchi, M., Kunifuji, S. (2007). Data Mining of Time-Series Medical Data by Formal Concept Analysis. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_151

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_151

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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