| Outliers in rules-the comparision of LOF, COF and KMEANS algorithms. A Nowak-Brzezińska, C Horyń Procedia Computer Science 176, 1420-1429, 2020 | 34 | 2020 |
| Exploration of rule-based knowledge bases: A knowledge engineer’s support A Nowak-Brzezińska, A Wakulicz-Deja Information Sciences 485, 301-318, 2019 | 33 | 2019 |
| Qualitative data clustering to detect outliers A Nowak-Brzezińska, W Łazarz Entropy 23 (7), 869, 2021 | 24 | 2021 |
| Mining rule-based knowledge bases inspired by rough set theory A Nowak-Brzezińska Fundamenta Informaticae 148 (1-2), 35-50, 2016 | 20 | 2016 |
| How the outliers influence the quality of clustering? A Nowak-Brzezińska, I Gaibei Entropy 24 (7), 917, 2022 | 19 | 2022 |
| Outlier detection using the multiobjective genetic algorithm A Duraj, Ł Chomątek Journal of Applied Computer Science 25 (2), 29-42, 2017 | 19 | 2017 |
| Podstawy systemów wyszukiwania informacji A Wakulicz-Deja Analiza metod. Akademicka Oficyna Wydawnicza PLJ, Warszawa, 1995 | 16 | 1995 |
| The Monte Carlo feature selection and interdependency discovery is unbiased M Dramiński, M Kierczak, A Nowak-Brzezińska, J Koronecki, ... Control and Cybernetics 40 (2), 199-211, 2011 | 13 | 2011 |
| Wybór algorytmu grupowania a efektywność wyszukiwania dokumentów A Nowak-Brzezińska, T Jach, T Xięski Studia Informatica 31 (2A), 89, 2010 | 13 | 2010 |
| Visualization of medical rule-based knowledge bases A Nowak-Brzezińska, T Rybotycki Journal of Medical Informatics & Technologies 24, 91--98, 2015 | 12 | 2015 |
| New Inference Algorithms Based on Rules Partition. A Nowak-Brzezinska, R Siminski CS&P, 164-175, 2014 | 12 | 2014 |
| Exploratory clustering and visualization A Nowak-Brzezińska, T Xiȩski Procedia Computer Science 35, 1082-1091, 2014 | 12 | 2014 |
| Inference processes in decision support systems with incomplete knowledge A Wakulicz-Deja, A Nowak-Brzezińska, T Jach Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011 …, 2011 | 12 | 2011 |
| Enhancing the efficiency of a decision support system through the clustering of complex rule‐based knowledge bases and modification of the inference algorithm A Nowak-Brzezińska Complexity 2018 (1), 2065491, 2018 | 11 | 2018 |
| Temporal changes in the wolf Canis lupus diet in Wigry National Park (northeast Poland) RW Mysłajek, M Romański, I Kwiatkowska, KM Stępniak, M Figura, ... Ethology Ecology & Evolution 33 (6), 628-635, 2021 | 10 | 2021 |
| Goal-driven inference for web knowledge based system R Simiński, A Nowak-Brzezińska Information Systems Architecture and Technology: Proceedings of 36th …, 2016 | 10 | 2016 |
| Efficiency of complex data clustering A Wakulicz-Deja, A Nowak-Brzezińska, T Xięski Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011 …, 2011 | 10 | 2011 |
| Towards a practical approach to discover internal dependencies in rule-based knowledge bases R Simiński, A Nowak-Brzezińska, T Jach, T Xięski Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011 …, 2011 | 10 | 2011 |
| Maternal predictors and quality of umbilical cord blood units B Bielec-Berek, Ż Jastrzębska-Stojko, A Drosdzol-Cop, C Jendyk, ... Cell and Tissue Banking 19, 69-75, 2018 | 9 | 2018 |
| Knowledge mining approach for optimization of inference processes in rule knowledge bases A Nowak-Brzezińska, R Simiński On the Move to Meaningful Internet Systems: OTM 2012 Workshops: Confederated …, 2012 | 9 | 2012 |
Małgorzata Przybyła-KasperekInstitute of Computer Science, University of Silesia in KatowiceVerified email at us.edu.pl
