Proceedings of International Conference on Applied Innovation in IT
2016/03/10, Volume 4, Issue 1, pp.77-79

Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States


Obukhov Egor


Abstract: Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.

Keywords: unbalanced data, probabilistic neural net, multilayer perceptron, classification, evaluation of performance, preparation of data

DOI: 110.13142/KT10004.33

Download: PDF

References:

  1. Basmanov M., Menshikov S., Morozov I., Strebkov A.,” System of parameter’s diagnostic of GTU: modern approach” Delovaya Rossia N7, 2011.-42-43 p. (In Russian)
  2. Icamaan B. Viegas da Silva; Paulo J. L. Adeodato, “PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets” Proceedings of International Joint Conference on Neural Networks, San Jose
  3. Robert E. Schapire, “The Strength of Weak Learnability” Machine Learning, 5(2):197–227, 1990
  4. Statsoft program "Statistica". [Online]. Available: http://www.statsoft.ru/
  5. Dolina O.N. and Kyzmin A.K. Particularities of developing expert systems based on neural net modeling” Journal of Saratov technic state university, 2009.-266-272 p. (In Russian)
  6. S. Sathyanarayana, “A gentle introduction to backpropagation”, July 22, 2014
  7. Specht, D. F. "Probabilistic neural networks". Neural Networks 3:1990.- 109–118 p.
  8. A.I. Gavrilov and P.V. Evdokimov, “Neural Network optimum parameters determining under industrial process mathematical model construction” Vestnik of ISPU N4, 2007 (In Russian)


    HOME

       - Call for Papers
       - For authors
       - Important Dates
       - Conference Schedule
       - Conference Committee
       - Editorial Board
       - Reviewers
       - Last Proceedings


    PROCEEDINGS

       - Volume 11, Issue 2 (ICAIIT 2023)
       - Volume 11, Issue 1 (ICAIIT 2023)
       - Volume 10, Issue 1 (ICAIIT 2022)
       - Volume 9, Issue 1 (ICAIIT 2021)
       - Volume 8, Issue 1 (ICAIIT 2020)
       - Volume 7, Issue 1 (ICAIIT 2019)
       - Volume 7, Issue 2 (ICAIIT 2019)
       - Volume 6, Issue 1 (ICAIIT 2018)
       - Volume 5, Issue 1 (ICAIIT 2017)
       - Volume 4, Issue 1 (ICAIIT 2016)
       - Volume 3, Issue 1 (ICAIIT 2015)
       - Volume 2, Issue 1 (ICAIIT 2014)
       - Volume 1, Issue 1 (ICAIIT 2013)


    PAST CONFERENCES

       ICAIIT 2023
         - Photos
         - Reports

       ICAIIT 2022
         - Message

       ICAIIT 2021
         - Photos
         - Reports

       ICAIIT 2020
         - Photos
         - Reports

       ICAIIT 2019
         - Photos
         - Reports

       ICAIIT 2018
         - Photos
         - Reports

    ETHICS IN PUBLICATIONS

    ACCOMODATION

    CONTACT US

 

DOI: http://dx.doi.org/10.25673/112984


        

         Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0


                                                   This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License


           ISSN 2199-8876
           Publisher: Anhalt University of Applied Sciences

        site traffic counter

Creative Commons License
Except where otherwise noted, all works and proceedings on this site is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.