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Data Mining Workspace As An Optimization Prediction Technique For Solving Transport Problems

Author

Listed:
  • Anastasiia KUPTCOVA

    (University of Pardubice, Jan Perner Transport Faculty Department of Transport Management, Marketing and Logistics Studentská 95, 532 10 Pardubice, Czech Republic)

  • Petr PRŮŠA

    (University of Pardubice, Jan Perner Transport Faculty Department of Transport Management, Marketing and Logistics Studentská 95, 532 10 Pardubice, Czech Republic)

  • Gabriel FEDORKO

    (Technical University of Košice, Faculty BERG, Logistics Institute of Industry and Transport Park Komenského 14, 043 84 Košice, Slovakia)

  • Vieroslav MOLNÃ R

    (Technical University of Košice, Faculty BERG, Logistics Institute of Industry and Transport Park Komenského 14, 043 84 Košice, Slovakia)

Abstract

Summary. This article addresses the study related to forecasting with an actual high-speed decision making under careful modelling of time...

Suggested Citation

  • Anastasiia KUPTCOVA & Petr PRŮŠA & Gabriel FEDORKO & Vieroslav MOLNà R, 2016. "Data Mining Workspace As An Optimization Prediction Technique For Solving Transport Problems," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(3), pages 21-31, September.
    • Handle: RePEc:exl:1trans:v:11:y:2016:i:3:p:21-31
    DOI: 10.20858/tp.2016.11.3.3
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    References listed on IDEAS

    as
    1. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
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    Cited by:

    1. Petr PRŮŠA & Stefan JOVČIĆ & Josef SAMSON & Zuzana KOZUBÍKOVÁ & Aleš KOZUBÍK, 2020. "Using A Non-Parametric Technique To Evaluate The Efficiency Of A Logistics Company," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(1), pages 153-161, March.

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