Marek Grzegorowski

According to our database, Marek Grzegorowski authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems.

Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen

IEEE Access, 2024

2023

Survival-Based Feature Extraction - Application in Supply Management for Dispersed Vending Machines.

Marek Grzegorowski, Jaroslaw Litwin, Mateusz Wnuk, Mateusz Pabis, Lukasz Marcinowski

IEEE Trans. Ind. Informatics, March, 2023

Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system.

Eyad Kannout, Michal Grodzki, Marek Grzegorowski

Comput. Sci. Inf. Syst., 2023

Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction.

Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron

Proceedings of the Rough Sets - International Joint Conference, 2023

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium.

Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato

Proceedings of the New Trends in Database and Information Systems, 2023

2022

Selected Aspects of Interactive Feature Extraction.

Marek Grzegorowski

Trans. Rough Sets, 2022

Prescriptive Analytics for Optimization of FMCG Delivery Plans.

Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Considering various aspects of models' quality in the ML pipeline - application in the logistics sector.

Eyad Kannout, Michal Grodzki, Marek Grzegorowski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems.

Eyad Kannout, Michal Grodzki, Marek Grzegorowski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Speeding Up Recommender Systems Using Association Rules.

Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

Data-Driven Resilient Supply Management Supported by Demand Forecasting.

Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning.

Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak

Big Data Res., 2021

Toward Recommender Systems Scalability and Efficacy.

Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen

Proceedings of the Concurrency, Specification and Programming, 2021

2019

On resilient feature selection: Computational foundations of r-C-reducts.

Marek Grzegorowski, Dominik Slezak

Inf. Sci., 2019

Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction.

Andrzej Janusz, Lukasz Grad, Marek Grzegorowski

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Cluster-size optimization within a cloud-based ETL framework for Big Data.

Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines.

Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel

Inf. Sci., 2018

2017

Predicting seismic events in coal mines based on underground sensor measurements.

Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak

Eng. Appl. Artif. Intell., 2017

Toward Interactive Attribute Selection with Infolattices - A Position Paper.

Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki

Proceedings of the Rough Sets - International Joint Conference, 2017

On the role of feature space granulation in feature selection processes.

Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts.

Marek Grzegorowski

Proceedings of the Rough Sets - International Joint Conference, 2016

Massively Parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events.

Marek Grzegorowski

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Mining Data from Coal Mines: IJCRS'15 Data Challenge.

Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines.

Marek Grzegorowski, Sebastian Stawicki

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Window-based feature extraction framework for multi-sensor data: A posture recognition case study.

Marek Grzegorowski, Sebastian Stawicki

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014

Scaling of Complex Calculations over Big Data-Sets.

Marek Grzegorowski

Proceedings of the Active Media Technology - 10th International Conference, 2014

2012

RDBMS Model for Scientific Articles Analytics.

Marcin Kowalski, Dominik Slezak, Krzysztof Stencel, Przemyslaw Wiktor Pardel, Marek Grzegorowski, Michal Kijowski

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2012

SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores.

Marek Grzegorowski, Przemyslaw Wiktor Pardel, Sebastian Stawicki, Krzysztof Stencel

Proceedings of the New Trends in Databases and Information Systems, 2012