Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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New approach to modelling in non-stationary environment

2014/15/B/ST7/05264

Keywords:

nonstationary environment identification and prediction black box modeling stream data signal processing

Descriptors:

  • ST7_3: Simulation engineering and modelling
  • ST7_4: Micro- and nanosystems engineering
  • ST7_7: Signal processing

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Politechnika Częstochowska, Wydział Inżynierii Mechanicznej i Informatyki

woj. śląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Leszek Rutkowski 

Number of co-investigators in the project: 7

Call: OPUS 8 - announced on 2014-09-15

Amount awarded: 1 386 513 PLN

Project start date (Y-m-d): 2015-09-30

Project end date (Y-m-d): 2018-12-29

Project duration:: 39 months (the same as in the proposal)

Project status: Project settled

Equipment purchased [PL]

  1. laptop (36 000 PLN)

Information in the final report

  • Publication in academic press/journals (6)
  • Articles in post-conference publications (12)
  • Book publications / chapters in book publications (1)
  1. How to adjust an ensemble size in stream data mining?
    Authors:
    Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
    Academic press:
    Information Sciences (rok: 2017, tom: 381, strony: 46-54), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.028 - link to the publication
  2. New splitting criteria for decision trees in stationary data streams
    Authors:
    Maciej Jaworski, Piotr Duda, Leszek Rutkowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2018, tom: 26 (6), strony: 2516 - 2529), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2017.2698204 - link to the publication
  3. Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
    Authors:
    Piotr Duda, Maciej Jaworski, Leszek Rutkowski
    Academic press:
    Information Sciences (rok: 2018, tom: 460-461, strony: 497-518), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2017.07.013 - link to the publication
  4. Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks
    Authors:
    Piotr Duda, Maciej Jaworski, Leszek Rutkowski
    Academic press:
    International Journal of Learning Systems (rok: 2018, tom: 28 (02), strony: 1750048), Wydawca: World Scientific
    Status:
    Published
    DOI:
    10.1142/S0129065717500484 - link to the publication
  5. On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification
    Authors:
    Piotr Duda, Leszek Rutkowski, Maciej Jaworski, Danuta Rutkowska
    Academic press:
    IEEE Transactions on Cybernetics (rok: 2018, tom: Early Access, strony: 45305), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TCYB.2018.2877611 - link to the publication
  6. Regression function and noise variance tracking methods for data streams with concept drift
    Authors:
    Maciej Jaworski
    Academic press:
    International Journal of Applied Mathematics and Computer Science (rok: 2018, tom: 28 (3), strony: 559-567), Wydawca: AMCS
    Status:
    Published
    DOI:
    10.2478/amcs-2018-0043 - link to the publication
  1. Heuristic regression function estimation methods for data streams with concept drift
    Authors:
    Maciej Jaworski, Piotr Duda, Leszek Rutkowski, Patryk Najgebauer, Miroslaw Pawlak
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017) (rok: 2017, ), Wydawca: Springer
    Data:
    konferencja 11-15 Czerwiec
    Status:
    Published
  2. Learning in Nonstationary Environments: A Hybrid Approach
    Authors:
    Cesare Alippi, Wen Qi, Manuel Roveri
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2017, ), Wydawca: Springer
    Data:
    konferencja 10.06-15.06
    Status:
    Published
  3. On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
    Authors:
    Piotr Duda, Lena Pietruczuk, Maciej Jaworski, Adam Krzyżak
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (ICAISC 2016) (rok: 2016, ), Wydawca: Springer
    Data:
    konferencja 12-16 Czerwiec
    Status:
    Published
    DOI:
    link to the publication
  4. On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data
    Authors:
    Jinde Cao, Leszek Rutkowski
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 3 - 7 Czerwiec
    Status:
    Published
  5. Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine
    Authors:
    Maciej Jaworski, Piotr Duda, Leszek Rutkowski
    Conference:
    International Joint Conference on Neural Networks (rok: 2018, ), Wydawca: IEEE
    Data:
    konferencja 8 - 13 Lipiec
    Status:
    Published
  6. Online GRNN-Based Ensembles for Regression on Evolving Data Streams
    Authors:
    Piotr Duda, Maciej Jaworski, Leszek Rutkowski
    Conference:
    International Symposium on Neural Networks (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 25 - 28 Czerwiec
    Status:
    Published
  7. A method for automatic adjustment of ensemble size in stream data mining
    Authors:
    Lena Pietruczuk, Leszek Rutkowski, Maciej Jaworski, Piotr Duda
    Conference:
    2016 International Joint Conference on Neural Networks (IJCNN) (rok: 2016, ), Wydawca: IEEE
    Data:
    konferencja 24-29 Lipiec
    Status:
    Published
    DOI:
    link to the publication
  8. On ensemble components selection in data streams scenario with reoccurring concept-drift
    Authors:
    Piotr Duda, Maciej Jaworski, Leszek Rutkowski
    Conference:
    Symposium Series on Computational Intelligence (SSCI 2017) (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 27 Listopad - 1 Grudzień
    Status:
    Published
  9. Classifier Concept Drift Detection and the Illusion of Progress
    Authors:
    Albert Bifet
    Conference:
    International Conferenec on Artificial Intelligence and Soft Computing (rok: 2017, ), Wydawca: Springer
    Data:
    konferencja 10.06-15.06
    Status:
    Published
  10. On applying the Restricted Boltzmann Machine to active concept drift detection
    Authors:
    Maciej Jaworski, Piotr Duda, Leszek Rutkowski
    Conference:
    Symposium Series on Computational Intelligence (SSCI 2017) (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 27 Listopad - 1 Grudzień
    Status:
    Published
  11. Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept Drift
    Authors:
    Maciej Jaworski, Patryk Najgebauer, Piotr Goetzen
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 3 - 7 Czerwiec
    Status:
    Published
  12. On Ensemble Components Selection in Data Streams Scenario with Gradual Concept-Drift
    Authors:
    Piotr Duda
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 3 - 7 Czerwiec
    Status:
    Published
  1. Studies in Big Data
    Authors:
    Leszek Rutkowski, Maciej Jaworski, Piotr Duda
    Book:
    Stream Data Mining: Algorithms and Their Probabilistic Properties (rok: 2019, tom: 56, strony: 1-330), Wydawca: Springer
    Status:
    Published

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