Teresa Mroczek

Int. J. Approx. Reason., 2025

2024

Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Fuzzy and rough approach to the problem of missing data in fall detection system.

[BibT_eX]

[DOI]

Dorota Gil

Barbara Pekala

Fuzzy Sets Syst., 2024

Exploring Relationships in Melanocytic Data Sets.

[BibT_eX]

[DOI]

Lukasz Piatek

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

Global and saturated probabilistic approximations based on generalized maximal consistent blocks.

[BibT_eX]

[DOI]

Log. J. IGPL, March, 2023

Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System.

[BibT_eX]

[DOI]

Sensors, 2022

Analysis and classification of melanocytic skin lesion images.

[BibT_eX]

[DOI]

Lukasz Piatek

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

A New Approach to Constructing Maximal Consistent Blocks for Mining Incomplete Data.

[BibT_eX]

[DOI]

Ruoting Zheng

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks.

[BibT_eX]

[DOI]

Log. J. IGPL, 2021

2020

Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets.

[BibT_eX]

[DOI]

Proceedings of the Information and Software Technologies - 26th International Conference, 2020

2019

Reduced Data Sets and Entropy-Based Discretization.

[BibT_eX]

[DOI]

Entropy, 2019

Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Decision Technologies 2019, 2019

Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems Design and Applications, 2019

Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations.

[BibT_eX]

[DOI]

Proceedings of the Information and Software Technologies - 25th International Conference, 2019

2018

Attribute Selection Based on Reduction of Numerical Attributes During Discretization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

Characteristic sets and generalized maximal consistent blocks in mining incomplete data.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Merging of Numerical Intervals in Entropy-Based Discretization.

[BibT_eX]

[DOI]

Entropy, 2018

A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Information and Software Technologies - 24th International Conference, 2018

Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2016

A Comparison of Four Approaches to Discretization Based on Entropy.

[BibT_eX]

[DOI]

Entropy, 2016

Definability in Mining Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015

A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Data Integration through Clustering and Finding Statistical Relations - Validation of Approach.

[BibT_eX]

[DOI]

Marek Jaszuk

Barbara Fryc

Proceedings of the 24th International Workshop on Concurrency, 2015

Conversion of Belief Networks into Belief Rules: A New Approach.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

Identifying Semantic Classes within Student's Data Using Clustering Technique.

[BibT_eX]

[DOI]

Marek Jaszuk

Barbara Fryc

Proceedings of the DATA 2014, 2014

2013

A new tool for data analysis using symbolic methods.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Human System Interactions, 2013

2012

Belief Networks in Classification of Laryngopathies Based on Speech Spectrum Analysis.

[BibT_eX]

[DOI]

Krzysztof Pancerz

Jan Warchol

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

2011

Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

2009

An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach.

[BibT_eX]

[DOI]

Piotr Blajdo

Maksymilian Knap

Lukasz Piatek

Fundam. Informaticae, 2009

2008

A Comparison of Six Approaches to Discretization-A Rough Set Perspective.

[BibT_eX]

[DOI]

Piotr Blajdo

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

2007

Deriving Belief Networks and Belief Rules from Data: A Progress Report.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2007

Neonatal Infection Diagnosis Using Constructive Induction in Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2007

2005

Data Mining Analysis of Granular Bed Caking during Hop Extraction.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing and Web Mining, 2005

Data Mining Experiments on Hop Processing Data.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Classification of Medical Images in the Domain of Melanoid Skin Lesions.

[BibT_eX]

[DOI]

Proceedings of the Computer Recognition Systems, 2005

2004

Rules from Belief Networks: A Rough Set Approach.

[BibT_eX]

[DOI]