Agnieszka Nowak-Brzezinska

52 papers B 12C 2Journal 8Unranked 29
YearRankTypeTitle / Venue / Authors
2025 B conf
A hybrid knowledge-based machine learning approach for ticket classification in the AWS cloud.
KES
Agnieszka Nowak-Brzezinska, Dawid Drabek
2025 J jnl
Automatic block size optimization in the LOF algorithm for efficient anomaly detection.
Appl. Soft Comput.
Czeslaw Horyn, Agnieszka Nowak-Brzezinska
2025 B conf
Categorical Pseudo-Labeling with Iterative Cluster Expansion.
KES
Weronika Lazarz, Agnieszka Nowak-Brzezinska
2025 B conf
Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics.
KES
Weronika Lazarz, Agnieszka Nowak-Brzezinska
2025 — conf
Impact of Conflict Set Resolution Strategies on Inference Efficiency in Rule-Based Systems.
ISD
Agnieszka Nowak-Brzezinska, Daniel Nowak
2025 — conf
Inference processes in rule cluster knowledge base - various approaches.
ISD
Igor Gaibei, Agnieszka Nowak-Brzezinska
2024 B conf
Analysis of selected algorithms for detecting outliers in data.
KES
Agnieszka Nowak-Brzezinska, Dawid Jasiak
2024 — conf
Detecting Outliers in Context of Clustering Imbalanced Categorical Data.
ISD
Weronika Lazarz, Agnieszka Nowak-Brzezinska
2024 B conf
Edge-based categorical clustering for data with related features.
KES
Weronika Lazarz, Agnieszka Nowak-Brzezinska
2024 — conf
Inference Algorithm for Knowledge Bases with Rule Cluster Structure.
ICCS (3)
Agnieszka Nowak-Brzezinska, Igor Gaibei
2023 B conf
Comparative analysis of selected algorithms for qualitative data clustering.
KES
Agnieszka Nowak-Brzezinska, Jakub Królik
2023 — conf
Decision Rule Clustering - Comparison of the Algorithms.
IJCRS
Agnieszka Nowak-Brzezinska, Igor Gaibei
2023 B conf
Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms.
KES
Czeslaw Horyn, Agnieszka Nowak-Brzezinska
2023 — conf
Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm.
IJCRS
Czeslaw Horyn, Agnieszka Nowak-Brzezinska
2023 B conf
The similarity of the similarity measures in the context of clustering algorithms for categorical data.
KES
Agnieszka Nowak-Brzezinska, Wojciech Ogieglo
2022 J jnl
How the Outliers Influence the Quality of Clustering?
Entropy
Agnieszka Nowak-Brzezinska, Igor Gaibei
2022 — conf
Outlier Detection for Categorial Data Using Clustering Algorithms.
ICCS (3)
Agnieszka Nowak-Brzezinska, Weronika Lazarz
2022 B conf
Self-Organizing Map algorithm as a tool for outlier detection.
KES
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
2022 — conf
The Quality of Clustering Data Containing Outliers.
ACIIDS (2)
Agnieszka Nowak-Brzezinska, Igor Gaibei
2021 B conf
Outliers in Covid 19 data based on Rule representation - the analysis of LOF algorithm.
KES
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
2021 J jnl
Qualitative Data Clustering to Detect Outliers.
Entropy
Agnieszka Nowak-Brzezinska, Weronika Lazarz
2020 J jnl
Exploration of Outliers in If-Then Rule-Based Knowledge Bases.
Entropy
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
2020 B conf
Outliers in rules - the comparision of LOF, COF and KMEANS algorithms.
KES
Agnieszka Nowak-Brzezinska, Czeslaw Horyn
2019 J jnl
Exploration of rule-based knowledge bases: A knowledge engineer's support.
Inf. Sci.
Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
2018 — conf
Different Methods for Cluster's Representation and Their Impact on the Effectiveness of Searching Through Such a Structure.
ICCCI (2)
Tomasz Xieski, Agnieszka Nowak-Brzezinska
2018 J jnl
Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule-Based Knowledge Bases and Modification of the Inference Algorithm.
Complex.
Agnieszka Nowak-Brzezinska
2018 — conf
Experimental Implementation of Web-Based Knowledge Base Verification Module.
ICCCI (2)
Roman Siminski, Agnieszka Nowak-Brzezinska, Michal Siminski
2018 — ch.
Feature Selection Approach for Rule-Based Knowledge Bases.
Advances in Feature Selection for Data and Pattern Recognition
Agnieszka Nowak-Brzezinska
2018 — conf
Methods of Rule Clusters' Representation in Domain Knowledge Bases.
ICCCI (2)
Agnieszka Nowak-Brzezinska
2017 C conf
Comparison of similarity measures in context of rules clustering.
INISTA
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki
2017 — conf
Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data.
ICCCI (2)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski
2017 — conf
Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases.
BDAS
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki
2017 — conf
Knowledge Exploration in Medical Rule-Based Knowledge Bases.
ICCCI (2)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
2017 C conf
Outlier mining in rule-based knowledge bases.
INISTA
Agnieszka Nowak-Brzezinska
2016 — conf
Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data.
ICCCI (2)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska
2016 — conf
KBExplorator and KBExpertLib as the Tools for Building Medical Decision Support Systems.
ICCCI (2)
Roman Siminski, Agnieszka Nowak-Brzezinska
2016 — conf
Mining Medical Knowledge Bases.
ICCCI (2)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
2016 — conf
Mining Rule-Based Knowledge Bases.
BDAS
Agnieszka Nowak-Brzezinska
2016 J jnl
Mining Rule-based Knowledge Bases Inspired by Rough Set Theory.
Fundam. Informaticae
Agnieszka Nowak-Brzezinska
2015 — conf
Exploration of Knowledge Bases Inspired by Rough Set Theory.
CS&P
Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
2015 — conf
Goal-Driven Inference for Web Knowledge Based System.
ISAT (4)
Roman Siminski, Agnieszka Nowak-Brzezinska
2014 B conf
Exploratory Clustering and Visualization.
KES
Agnieszka Nowak-Brzezinska, Tomasz Xieski
2014 — conf
New Inference Algorithms Based on Rules Partition.
CS&P
Agnieszka Nowak-Brzezinska, Roman Siminski
2014 — conf
The Incompleteness Factor Method as a Support of Inference in Decision Support Systems.
BDAS
Agnieszka Nowak-Brzezinska, Tomasz Jach
2013 J jnl
Complex Decision Systems and Conflicts Analysis Problem.
Fundam. Informaticae
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Malgorzata Przybyla-Kasperek
2012 — conf
Density-Based Method for Clustering and Visualization of Complex Data.
RSCTC
Tomasz Xieski, Agnieszka Nowak-Brzezinska, Alicja Wakulicz-Deja
2012 — conf
Inference Processes Using Incomplete Knowledge in Decision Support Systems - Chosen Aspects.
RSCTC
Agnieszka Nowak-Brzezinska, Tomasz Jach, Alicja Wakulicz-Deja
2012 — conf
Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases.
OTM Workshops
Agnieszka Nowak-Brzezinska, Roman Siminski
2012 — conf
Outlier Mining in Rule-Based Knowledge Bases.
RSCTC
Agnieszka Nowak-Brzezinska
2011 — conf
Efficiency of Complex Data Clustering.
RSKT
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Xieski
2011 — conf
Inference Processes in Decision Support Systems with Incomplete Knowledge.
RSKT
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Jach
2011 — conf
Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases.
RSKT
Roman Siminski, Agnieszka Nowak-Brzezinska, Tomasz Jach, Tomasz Xieski