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Classification of Clients on the Basis of Modifying Case-Based Reasoning Algorithms

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Man-Machine Interactions 5 (ICMMI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 659))

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Abstract

This article deals with client’s classification possibilities for trade companies. One of the options for dealing with classification is to use Case-based Reasoning method. The proposed modified algorithm clears cases base, it eliminates invalid data and out-dated data from the time point of view. Hill-climbing algorithm is used for this. Classification results achieved by means of modified algorithm are compared with other classification methods such as Neuron Networks, Top Down Induction Decision Trees and Logistic Regression.

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Acknowledgements

This article was supported by the project No. SGS–2017–019 with title “Models Synthesis and Analysis for Implementation Support of Smart Cities and Regions Concept” at the Faculty of Economics and Administration, University of Pardubice.

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Authors and Affiliations

  1. Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Studentska 84, 532 10, Pardubice, Czech Republic

    Filip Mezera & Jiri Krupka

Authors
  1. Filip Mezera
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  2. Jiri Krupka
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Corresponding author

Correspondence to Filip Mezera .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Katarzyna Harezlak

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Piotrowska

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Mezera, F., Krupka, J. (2018). Classification of Clients on the Basis of Modifying Case-Based Reasoning Algorithms. In: Gruca, A., Czachórski, T., Harezlak, K., Kozielski, S., Piotrowska, A. (eds) Man-Machine Interactions 5. ICMMI 2017. Advances in Intelligent Systems and Computing, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-319-67792-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-67792-7_31

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-67792-7

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