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International Symposium on Methodologies for Intelligent Systems

ISMIS 2017: Foundations of Intelligent Systems pp 697–707Cite as

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10352))

Abstract

We describe ISMIS 2017 Data Mining Competition – “Trading Based on Recommendations” – which was held between November 22, 2016 and January 22, 2017 at the platform Knowledge Pit. We explain its scope and summarize its results. We also discuss the solution which achieved the best result among all participating teams.

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Notes

  1. 1.

    The first author of this paper is the competition winner. The remaining authors are the competition organizing team members including representatives of sponsors and task/data providers, competition platform creators and conference organizers.

  2. 2.

    The significance of differences was measured using the t-test, based on scores obtained by 1000 random classification vectors of the testing data.

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Author information

Authors and Affiliations

  1. Montrouge, France

    Mathurin Aché

  2. Institute of Informatics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Andrzej Janusz & Dominik Ślęzak

  3. Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665, Warsaw, Poland

    Kamil Żbikowski, Marzena Kryszkiewicz, Henryk Rybinski & Piotr Gawrysiak

  4. mBank S.A., ul. Senatorska 18, 00-950, Warsaw, Poland

    Kamil Żbikowski & Piotr Gawrysiak

Authors
  1. Mathurin Aché
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  2. Andrzej Janusz
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  3. Kamil Żbikowski
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  4. Dominik Ślęzak
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  5. Marzena Kryszkiewicz
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  6. Henryk Rybinski
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  7. Piotr Gawrysiak
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Corresponding author

Correspondence to Dominik Ślęzak .

Editor information

Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz

  2. University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  3. Institute of Informatics, University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  4. Faculty of Electronics & Information, Warsaw University of Technology, Warsaw, Poland

    Henryk Rybinski

  5. Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  6. Department of Computer Science, University of North Carolina at Charlotte, North Carolina, USA

    Zbigniew W. Raś

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Cite this paper

Aché, M. et al. (2017). ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. In: Kryszkiewicz, M., Appice, A., Ślęzak, D., Rybinski, H., Skowron, A., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2017. Lecture Notes in Computer Science(), vol 10352. Springer, Cham. https://doi.org/10.1007/978-3-319-60438-1_68

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  • DOI: https://doi.org/10.1007/978-3-319-60438-1_68

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60437-4

  • Online ISBN: 978-3-319-60438-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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