Outliers in rules-the comparision of LOF, COF and KMEANS algorithms. A Nowak-Brzezińska, C Horyń Procedia Computer Science 176, 1420-1429, 2020 | 31 | 2020 |
Outliers in Covid 19 data based on Rule representation-the analysis of LOF algorithm A Nowak-Brzezińska, C Horyń Procedia Computer Science 192, 3010-3019, 2021 | 6 | 2021 |
Exploration of outliers in if-then rule-based knowledge bases A Nowak-Brzezińska, C Horyń Entropy 22 (10), 1096, 2020 | 6 | 2020 |
Self-Organizing Map algorithm as a tool for outlier detection A Nowak-Brzezińska, C Horyń Procedia Computer Science 207, 2162-2171, 2022 | 3 | 2022 |
Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm C Horyń, A Nowak-Brzezińska Rough Sets 14481, 627–641, 2023 | | 2023 |
Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms C Horyń, A Nowak-Brzezińska 27th International Conference on Knowledge Based and Intelligent Information …, 2023 | | 2023 |
Wartości odstające i ich wpływ na jakość analizy skupień–pakiet SOACRAPORT A Nowak-Brzezińska, C Horyń Studia Informatica 41 (1), 2020 | | 2020 |
Wartości odstające i ich wpływ na jakość analizy skupień – pakiet SOACRAPORT; OUTLIERS AND THEIR IMPACT ON THE QUALITY OF THE CLUSTER ANALYSIS – SOACRAPORT PACKAGE A Nowak-Brzezińska, C Horyń Studia Informatica, link to article: https://doi.org/10.5281/zenodo.7238199 …, 2020 | | 2020 |