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International Symposium on Methodologies for Intelligent Systems

ISMIS 2015: Foundations of Intelligent Systems pp 3–8Cite as

Data Mining with Histograms – A Case Study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9384))

Abstract

Histograms are introduced as interesting patterns for data mining. An application of the procedure CF-Miner mining for various types of histograms is described. Possibilities of using domain knowledge in a process of mining interesting histograms are outlined.

The work described here has been supported by funds of institutional support for long-term conceptual development of science and research at FIS of the University of Economics, Prague.

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Authors and Affiliations

  1. Faculty of Informatics and Statistics, University of Economics, Prague Nám W. Churchilla 4, 130 67, Prague 3, Czech Republic

    Jan Rauch & Milan Šimůnek

Authors
  1. Jan Rauch
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  2. Milan Šimůnek
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Corresponding author

Correspondence to Jan Rauch .

Editor information

Editors and Affiliations

  1. Computer Science, University of Bari, Bari, Italy

    Floriana Esposito

  2. Enssat, Lannion, France

    Olivier Pivert

  3. LISI-UFR d'Informatique, Université Claude Bernard Lyon 1, Villeurbanne Cedex, France

    Mohand-Said Hacid

  4. University of North Carolina, CHARLOTTE, North Carolina, USA

    Zbigniew W. Rás

  5. Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

    Stefano Ferilli

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© 2015 Springer International Publishing Switzerland

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Rauch, J., Šimůnek, M. (2015). Data Mining with Histograms – A Case Study. In: Esposito, F., Pivert, O., Hacid, MS., Rás, Z., Ferilli, S. (eds) Foundations of Intelligent Systems. ISMIS 2015. Lecture Notes in Computer Science(), vol 9384. Springer, Cham. https://doi.org/10.1007/978-3-319-25252-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-25252-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25251-3

  • Online ISBN: 978-3-319-25252-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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