Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Theoretical foundation of resilient feature selection methods that ensure predictive model operation in case of partial data loss

2018/31/N/ST6/00610

Keywords:

resilient feature selection rough sets data analytics data mining

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • 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 :

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Marek Grzegorowski 

Number of co-investigators in the project: 3

Call: PRELUDIUM 16 - announced on 2018-09-14

Amount awarded: 190 900 PLN

Project start date (Y-m-d): 2019-07-04

Project end date (Y-m-d): 2024-07-03

Project duration:: 36 months (the same as in the proposal)

Project status: Pending project

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.

Information in the final report

  • Publication in academic press/journals (3)
  • Articles in post-conference publications (6)
  • Book publications / chapters in book publications (1)
  1. Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning
    Authors:
    Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Ślęzak
    Academic press:
    Big Data Research (rok: 2021, tom: 25, strony: 100203), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.bdr.2021.100203 - link to the publication
  2. Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system
    Authors:
    Eyad Kannout, Michał Grodzki, Marek Grzegorowski
    Academic press:
    Computer Science and Information Systems (rok: 2023, tom: 20, strony: 1343-1366), Wydawca: ComSIS Consortium
    Status:
    Published
    DOI:
    10.2298/CSIS221116052K - link to the publication
  3. Survival-based feature extraction - application in supply management for dispersed vending machines
    Authors:
    Marek Grzegorowski, Jarosław Litwin, Mateusz Wnuk, Mateusz Pabis, Łukasz Marcinowski
    Academic press:
    Transactions on Industrial Informatics (rok: 2023, tom: Early Access, strony: Early Access), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TII.2022.3178547 - link to the publication
  1. Data-Driven Resilient Supply Management Supported by Demand Forecasting
    Authors:
    Marek Grzegorowski, Andrzej Janusz, Jarosław Litwin, Łukasz Marcinowski
    Conference:
    Intelligent Information and Database Systems, ACIIDS (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 28-30 listopada, 2022
    Status:
    Published
  2. Prescriptive Analytics for Optimization of FMCG Delivery Plans
    Authors:
    Marek Grzegorowski, Andrzej Janusz, Stanisław Łażewski, Maciej Świechowski, Monika Jankowska
    Conference:
    Information Processing and Management of Uncertainty in Knowledge-Based Systems (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 11-15 lipca
    Status:
    Published
  3. Speeding Up Recommender Systems Using Association Rules
    Authors:
    Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
    Conference:
    Intelligent Information and Database Systems, ACIIDS (rok: 2022, ), Wydawca: Springer
    Data:
    konferencja 28-30 listopada, 2022
    Status:
    Published
    DOI:
    link to the publication
  4. Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems
    Authors:
    Eyad Kannout, Michał Grodzki, Marek Grzegorowski
    Conference:
    Conference on Computer Science and Intelligence Systems, FedCSIS (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 04-07 września, 2022
    Status:
    Published
    DOI:
    link to the publication
  5. Considering various aspects of models' quality in the ML pipeline - application in the logistics sector
    Authors:
    Eyad Kannou, Michał Grodzki, Marek Grzegorowski
    Conference:
    Conference on Computer Science and Intelligence Systems (rok: 2022, ), Wydawca: IEEE
    Data:
    konferencja 4-7 lipca, 2022
    Status:
    Published
    DOI:
    link to the publication
  6. Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction
    Authors:
    Marek Grzegorowski, Andrzej Janusz, Grzegorz Śliwa, Łukasz Marcinowski, Andrzej Skowron
    Conference:
    Rough Sets - International Joint Conference, IJCRS (rok: 2023, ), Wydawca: Springer
    Data:
    konferencja 5-8 Października, 2023
    Status:
    Published
  1. Selected Aspects of Interactive Feature Extraction
    Authors:
    Marek Grzegorowski
    Book:
    Transactions on Rough Sets XXIII (rok: 2023, tom: 23, strony: 121--287), Wydawca: Springer
    Status:
    Published

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