Agnieszka Nowak-Brzezinska

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Decision Support System

Similarity Measure

Detect Outliers

Top Venues

Publications

Agnieszka Nowak-Brzezinska, Igor Gaibei
Inference Algorithm for Knowledge Bases with Rule Cluster Structure. ICCS (3) (2024)
Agnieszka Nowak-Brzezinska, Igor Gaibei
Decision Rule Clustering - Comparison of the Algorithms. IJCRS (2023)
Czeslaw Horyn, Agnieszka Nowak-Brzezinska
Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm. IJCRS (2023)
Agnieszka Nowak-Brzezinska, Jakub Królik
Comparative analysis of selected algorithms for qualitative data clustering. KES (2023)
Czeslaw Horyn, Agnieszka Nowak-Brzezinska
Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms. KES (2023)
Agnieszka Nowak-Brzezinska, Wojciech Ogieglo
The similarity of the similarity measures in the context of clustering algorithms for categorical data. KES (2023)
Agnieszka Nowak-Brzezinska, Weronika Lazarz
Outlier Detection for Categorial Data Using Clustering Algorithms. ICCS (3) (2022)
Agnieszka Nowak-Brzezinska, Igor Gaibei
The Quality of Clustering Data Containing Outliers. ACIIDS (2) (2022)
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
Self-Organizing Map algorithm as a tool for outlier detection. KES (2022)
Agnieszka Nowak-Brzezinska, Igor Gaibei
How the Outliers Influence the Quality of Clustering? Entropy 24 (7) (2022)
Agnieszka Nowak-Brzezinska, Weronika Lazarz
Qualitative Data Clustering to Detect Outliers. Entropy 23 (7) (2021)
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
Outliers in Covid 19 data based on Rule representation - the analysis of LOF algorithm. KES (2021)
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
Exploration of Outliers in If-Then Rule-Based Knowledge Bases. Entropy 22 (10) (2020)
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
Outliers in rules - the comparision of LOF, COF and KMEANS algorithms. KES (2020)
Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
Exploration of rule-based knowledge bases: A knowledge engineer's support. Inf. Sci. 485 (2019)
Tomasz Xieski, Agnieszka Nowak-Brzezinska
Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure. ICCCI (2) (2018)
Roman Siminski, Agnieszka Nowak-Brzezinska, Michal Siminski
Experimental Implementation of Web-Based Knowledge Base Verification Module. ICCCI (2) (2018)
Agnieszka Nowak-Brzezinska
Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm. Complex. 2018 (2018)
Agnieszka Nowak-Brzezinska
Methods of Rule Clusters' Representation in Domain Knowledge Bases. ICCCI (2) (2018)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
Knowledge Exploration in Medical Rule-Based Knowledge Bases. ICCCI (2) (2017)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski
Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. ICCCI (2) (2017)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki
Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases. BDAS (2017)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki
Comparison of similarity measures in context of rules clustering. INISTA (2017)
Agnieszka Nowak-Brzezinska
Outlier mining in rule-based knowledge bases. INISTA (2017)
Agnieszka Nowak-Brzezinska
Mining Rule-based Knowledge Bases Inspired by Rough Set Theory. Fundam. Informaticae 148 (1-2) (2016)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
Mining Medical Knowledge Bases. ICCCI (2) (2016)
Roman Siminski, Agnieszka Nowak-Brzezinska
KBExplorator and KBExpertLib as the Tools for Building Medical Decision Support Systems. ICCCI (2) (2016)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska
Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. ICCCI (2) (2016)
Agnieszka Nowak-Brzezinska
Mining Rule-Based Knowledge Bases. BDAS (2016)
Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
Exploration of Knowledge Bases Inspired by Rough Set Theory. CS&P (2015)
Roman Siminski, Agnieszka Nowak-Brzezinska
Goal-Driven Inference for Web Knowledge Based System. ISAT (4) (2015)
Agnieszka Nowak-Brzezinska, Roman Siminski
New Inference Algorithms Based on Rules Partition. CS&P (2014)
Agnieszka Nowak-Brzezinska, Tomasz Xieski
Exploratory Clustering and Visualization. KES (2014)
Agnieszka Nowak-Brzezinska, Tomasz Jach
The Incompleteness Factor Method as a Support of Inference in Decision Support Systems. BDAS (2014)
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Malgorzata Przybyla-Kasperek
Complex Decision Systems and Conflicts Analysis Problem. Fundam. Informaticae 127 (1-4) (2013)
Agnieszka Nowak-Brzezinska, Tomasz Jach, Alicja Wakulicz-Deja
Inference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects. RSCTC (2012)
Tomasz Xieski, Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
Density-Based Method for Clustering and Visualization of Complex Data. RSCTC (2012)
Agnieszka Nowak-Brzezinska
Outlier Mining in Rule-Based Knowledge Bases. RSCTC (2012)
Agnieszka Nowak-Brzezinska, Roman Siminski
Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases. OTM Workshops (2012)
Roman Siminski, Agnieszka Nowak-Brzezinska, Tomasz Jach, Tomasz Xieski
Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. RSKT (2011)
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Jach
Inference Processes in Decision Support Systems with Incomplete Knowledge. RSKT (2011)
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Xieski
Efficiency of Complex Data Clustering. RSKT (2011)