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European Conference on Advances in Databases and Information Systems

ADBIS 2019: Advances in Databases and Information Systems pp 425–440Cite as

A Framework for Learning Cell Interestingness from Cube Explorations

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11695))

Abstract

In this paper, we discuss the problem of organizing the different ways of computing the interestingness of a particular cell derived from a cube in the context of a hierarchical, multidimensional space. We start from an in-depth study of the interestingness aspects in the study of human behavior and include in our survey the approaches taken by computer-science efforts in the area of data mining and user recommendations. We move on to structure interestingness along different fundamental, high level aspects, and, due to their high-level nature, we also move towards much more concrete data-oriented definitions of interestingness aspects.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Interest_(emotion).

  2. 2.

    We do not distinguish between the terms session and exploration in what follows.

  3. 3.

    https://www.meteorite.bi/products/saiku.

  4. 4.

    In this implementation, the user belief is agnostic of measure values, and the metric therefore characterizes how surprising it is that the user visits this particular cell.

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Author information

Authors and Affiliations

  1. University of Tours, Blois, France

    Patrick Marcel & Veronika Peralta

  2. University of Ioannina, Ioannina, Greece

    Panos Vassiliadis

Authors
  1. Patrick Marcel
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  2. Veronika Peralta
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  3. Panos Vassiliadis
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Corresponding author

Correspondence to Patrick Marcel .

Editor information

Editors and Affiliations

  1. University of Maribor, Maribor, Slovenia

    Tatjana Welzer

  2. Alpen-Adria Universität Klagenfurt, Klagenfurt, Austria

    Johann Eder

  3. University of Maribor, Maribor, Slovenia

    Vili Podgorelec

  4. University of Maribor, Maribor, Slovenia

    Aida Kamišalić Latifić

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Marcel, P., Peralta, V., Vassiliadis, P. (2019). A Framework for Learning Cell Interestingness from Cube Explorations. In: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A. (eds) Advances in Databases and Information Systems. ADBIS 2019. Lecture Notes in Computer Science(), vol 11695. Springer, Cham. https://doi.org/10.1007/978-3-030-28730-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-28730-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28729-0

  • Online ISBN: 978-3-030-28730-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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