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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The Use of Big Data Analytics for Process Modelling in Smart Logistics Operations

2018/28/Z/ST6/00563

Keywords:

Big Data modelowanie procesów inteligentna logistyka planowanie trasy problemy optymalizacyjne

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_10: Web and information systems, database systems, internet technologies, including information retrieval and digital libraries
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Lubelska, Wydział Elektrotechniki i Informatyki

woj. lubelskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Paweł Karczmarek 

Number of co-investigators in the project: 3

Call: UNISONO - announced on 2017-12-15

Amount awarded: 349 240 PLN

Project start date (Y-m-d): 2019-03-29

Project end date (Y-m-d): 2021-03-28

Project duration:: 24 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Stacja robocza na potrzeby Big Data (15 000 PLN)
  2. Laptop (min. karta GPU, 6GB, 16 GB RAM, 2TB HDD) (10 000 PLN)

Information in the final report

  • Publication in academic press/journals (7)
  • Articles in post-conference publications (12)
  1. K-Means-Based Isolation Forest
    Authors:
    P. Karczmarek, A. Kiersztyn, W. Pedrycz, E. Al
    Academic press:
    Knowledge-Based Systems (rok: 2020, tom: 195, strony: 45306), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2020.105659 - link to the publication
  2. Detection and classification of anomalies in large data sets on the basis of information granules
    Authors:
    A. Kiersztyn, P. Karczmarek, K. Kiersztyn, W. Pedrycz
    Academic press:
    IEEE Transactions on Fuzzy Systems (rok: 2021, tom: brak, strony: brak), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TFUZZ.2021.3076265 - link to the publication
  3. Fuzzy c-means-based isolation forest
    Authors:
    P. Karczmarek, A. Kiersztyn, W. Pedrycz, D. Czerwiński
    Academic press:
    Applied Soft Computing (rok: 2021, tom: 106, strony: art. no. 107354, str. 1-10), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2021.107354 - link to the publication
  4. A Probabilistic Generalization of Isolation Forest
    Authors:
    M. Tokovarov, P. Karczmarek
    Academic press:
    Information Sciences , Wydawca: Elsevier
    Status:
    Submitted
    DOI:
    brak - link to the publication
  5. The Use of Information Granules to Detect Anomalies in Animal Behavior
    Authors:
    A. Kiersztyn, P. Karczmarek, R. Łopucki, K. Kiersztyn, T. Nowicki, K. Perzanowski, W. Olech
    Academic press:
    Ecological Indicators , Wydawca: Elsevier
    Status:
    Submitted
    DOI:
    brak - link to the publication
  6. Travel Time Forecasting Based on Fuzzy Patterns
    Authors:
    A. Kiersztyn, A. Gandzel 2, L. Koczan, M. Celiński
    Academic press:
    Advances in Science and Technology Research Journal (rok: 2021, tom: 15(3), strony: 224–232), Wydawca: PAN Lublin
    Status:
    Published
    DOI:
    10.12913/22998624/140540 - link to the publication
  7. On a Combination of Clustering Methods and Isolation Forest
    Authors:
    M. Koziara, P. Karczmarek
    Academic press:
    International Journal of Fuzzy Systems (), Wydawca: Springer
    Status:
    Submitted
    DOI:
    brak - link to the publication
  1. Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques
    Authors:
    A. Kiersztyn, P. Karczmarek, R. Lopucki, W. Pedrycz, E. Al, I. Kitowski, A. Zbyryt
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 07.19-24
    Status:
    Published
  2. Fuzzy Extensions of Isolation Forests for Road Anomaly Detection
    Authors:
    M. Badurowicz, P. Karczmarek, J. Montusiewicz
    Conference:
    2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 11-14.07.2021
    Status:
    Published
  3. The concept of granular representation of the information potential of variables
    Authors:
    A. Kiersztyn, P. Karczmarek, K. Kiersztyn, R. Łopucki, S. Grzegórski, W. Pedrycz
    Conference:
    2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 11-14.07.2021
    Status:
    Published
  4. n-ary Isolation Forest: An Experimental Comparative Analysis
    Authors:
    P. Karczmarek, A. Kiersztyn, W. Pedrycz
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 06.21-25
    Status:
    Published
  5. Fuzzy Set-Based Isolation Forest
    Authors:
    P. Karczmarek, A. Kiersztyn, W. Pedrycz
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 07.19-24
    Status:
    Published
  6. An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants
    Authors:
    D. Czerwinski, P. Karczmarek, A. Kiersztyn, I. Kitowski, R. Łopucki, A. Zbyryt
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 07.19-24
    Status:
    Published
  7. Detection of Road Artefacts Using Fuzzy Adaptive Thresholding
    Authors:
    M. Badurowicz, J. Montusiewicz, P. Karczmarek
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 07.19-24
    Status:
    Published
  8. K-medoids clustering and fuzzy sets for isolation forest
    Authors:
    P. Karczmarek, A. Kiersztyn, W. Pedrycz, M. Badurowicz, D. Czerwiński, J. Montusiewicz
    Conference:
    2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 11-14.07.2021
    Status:
    Published
  9. The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means
    Authors:
    P. Karczmarek, W. Pedrycz, D. Czerwinski, A. Kiersztyn
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 2020.07.19-24
    Status:
    Published
  10. The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules
    Authors:
    A. Kiersztyn, P. Karczmarek, K. Kiersztyn, W. Pedrycz
    Conference:
    2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020) (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 07.19-24
    Status:
    Published
  11. The Concept of a Supply Chain Management System Using Intermodal Transport: A Case Study
    Authors:
    A. Kiersztyn, P. Karczmarek, W. Pedrycz, E. Al
    Conference:
    The 2019 International Conference on Computational Intelligence, Information Technology and Systems Research (CITS'19) (rok: 2020, ), Wydawca: Wydawnictwo Politechniki Lubelskiej
    Data:
    konferencja 06.13-15.2019
    Status:
    Published
  12. A comprehensive analysis of the impact of selecting the training set elements on the correctness of classification for highly variable ecological data
    Authors:
    A. Kiersztyn, R. Lopucki, K. Kiersztyn, P. Karczmarek, P. Powroznik, D. Czerwinski, W. Pedrycz
    Conference:
    2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 11-14.07.2021
    Status:
    Published

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