Jerzy W. Grzymala-Busse
Orcid: 0000-0001-8799-5714Affiliations:
- University of Kansas, Lawrence, USA
According to our database1,
Jerzy W. Grzymala-Busse
authored at least 193 papers
between 1969 and 2023.
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Bibliography
2023
Global and saturated probabilistic approximations based on generalized maximal consistent blocks.
Log. J. IGPL, March, 2023
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
2021
Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks.
Log. J. IGPL, 2021
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks.
Proceedings of the Rough Sets - International Joint Conference, 2021
2020
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
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.
Proceedings of the Information and Software Technologies - 26th International Conference, 2020
2019
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations.
Proceedings of the Intelligent Decision Technologies 2019, 2019
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions.
Proceedings of the Intelligent Systems Design and Applications, 2019
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations.
Proceedings of the Information and Software Technologies - 25th International Conference, 2019
2018
Attribute Selection Based on Reduction of Numerical Attributes During Discretization.
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018
Characteristic sets and generalized maximal consistent blocks in mining incomplete data.
Inf. Sci., 2018
A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018
Proceedings of the 14th International Conference on Natural Computation, 2018
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data.
Proceedings of the Information and Software Technologies - 24th International Conference, 2018
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks.
Proceedings of the Artificial Intelligence and Soft Computing, 2018
2017
Inf. Technol. Control., 2017
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
2016
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations.
J. Intell. Inf. Syst., 2016
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions.
Proceedings of the Rough Sets - International Joint Conference, 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
2015
Proceedings of the Feature Selection for Data and Pattern Recognition, 2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015
Proceedings of the Pattern Recognition and Machine Intelligence, 2015
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015
Mining incomplete data with many attribute-concept values and "do not care" conditions.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Proceedings of the Issues and Challenges in Artificial Intelligence, 2014
Mining incomplete data with singleton, subset and concept probabilistic approximations.
Inf. Sci., 2014
Int. J. Approx. Reason., 2014
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets.
Fundam. Informaticae, 2014
A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations.
Proceedings of the Rough Sets and Current Trends in Computing, 2014
Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014
Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions.
Proceedings of the DATA 2014, 2014
2013
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction.
Fundam. Informaticae, 2013
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013
A Comparison of global and local probabilistic approximations in mining data with many missing attribute values.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013
Proceedings of the DATA 2013 - Proceedings of the 2nd International Conference on Data Technologies and Applications, Reykjavík, Iceland, 29, 2013
2012
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2012
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values?
Proceedings of the Rough Sets and Current Trends in Computing, 2012
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm.
Proceedings of the Advances on Computational Intelligence, 2012
Experiments on rule induction from incomplete data using three probabilistic approximations.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012
2011
Proceedings of the Computer Recognition Systems 4, 2011
Int. J. Intell. Syst., 2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
A Comparison of Some Rough Set Approaches to Mining Symbolic Data with Missing Attribute Values.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Mining data with numerical attributes and missing attribute values - A rough set approach.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011
2010
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
Definability and Other Properties of Approximations for Generalized Indiscernibility Relations.
Trans. Rough Sets, 2010
Fundam. Informaticae, 2010
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.
Proceedings of the Rough Sets and Current Trends in Computing, 2010
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010
Proceedings of the Artificial Intelligence and Soft Computing, 2010
A comparison of positive, boundary, and possible rules using the MLEM2 rule induction algorithm.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
2009
Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results.
Proceedings of the Computer Recognition Systems 3, 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
Fundam. Informaticae, 2009
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Man-Machine Interactions, 2009
2008
Proceedings of the Data Mining: Foundations and Practice, 2008
Proceedings of the Data Mining: Foundations and Practice, 2008
Proceedings of the Information Technologies in Biomedicine, 2008
Fundam. Informaticae, 2008
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008
Proceedings of the Rough Sets and Current Trends in Computing, 2008
Proceedings of the Rough Sets and Current Trends in Computing, 2008
Proceedings of the Software and Data Technologies - Third International Conference, 2008
Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach.
Proceedings of the ICSOFT 2008, 2008
2007
Trans. Rough Sets, 2007
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values.
Trans. Rough Sets, 2007
Proceedings of the Rough Sets, 2007
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
Definability of Approximations for a Generalization of the Indiscernibility Relation.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Proceedings of the Intelligent Information Processing and Web Mining, 2006
Experiments on Data with Three Interpretations of Missing Attribute Values - A Rough Set Approach.
Proceedings of the Intelligent Information Processing and Web Mining, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2005
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.
Trans. Rough Sets, 2005
J. Intell. Manuf., 2005
Infoscience technology: the impact of internet accessible melanoid data on health issues.
Data Sci. J., 2005
Proceedings of the Rough Sets, 2005
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.
Proceedings of the Rough Sets, 2005
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005
Proceedings of the Intelligent Information Processing and Web Mining, 2005
Proceedings of the Intelligent Information Processing and Web Mining, 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the Computer Recognition Systems, 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
Handling Missing Attribute Values.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
LERS - A Data Mining System.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
Rule Induction.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
2004
An Approach to Imbalanced Data Sets Based on Changing Rule Strength.
Proceedings of the Rough-Neural Computing: Techniques for Computing with Words., 2004
Trans. Rough Sets, 2004
Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction.
Trans. Rough Sets, 2004
Proceedings of the Rough Sets and Current Trends in Computing, 2004
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System.
Proceedings of the Rough Sets and Current Trends in Computing, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
2003
Pattern Recognit. Lett., 2003
Functional Behavioral Assessment Using the LERS Data Mining System - Strategies for Understanding Complex Physiological and Behavioral Patterns.
J. Intell. Inf. Syst., 2003
A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes.
Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003
MLEM2 - Discretization During Rule Induction.
Proceedings of the Intelligent Information Processing and Web Mining, 2003
Optimization of the ABCD Formula Used for Melanoma Diagnosis.
Proceedings of the Intelligent Information Processing and Web Mining, 2003
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
2002
A comparison of three closest fit approaches to missing attribute values in preterm birth data.
Int. J. Intell. Syst., 2002
Proceedings of the Rough Sets and Current Trends in Computing, 2002
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma.
Proceedings of the Intelligent Information Systems 2002, 2002
Proceedings of the 26th International Computer Software and Applications Conference (COMPSAC 2002), 2002
2001
Coping with Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach.
Comput. Intell., 2001
Proceedings of the New Frontiers in Artificial Intelligence, 2001
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms.
Proceedings of the Intelligent Information Systems 2001, 2001
Proceedings of the 25th International Computer Software and Applications Conference (COMPSAC 2001), 2001
Using Rule Induction for Prediction of Self-Injuring Behavior in Animal Models of Development Disabilities.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001
Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001
2000
Proceedings of the Rough Sets and Current Trends in Computing, 2000
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000
Data Mining Experiments with the Melanoma Data Set.
Proceedings of the Intelligent Information Systems, 2000
1999
Proceedings of the New Directions in Rough Sets, 1999
Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999
1998
Entropy of English Text: Experiments with Humans and a Machine Learning System Based on Rough Sets.
Inf. Sci., 1998
Proceedings of the Rough Sets and Current Trends in Computing, 1998
1997
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997
1996
Rough Sets: Facts Versus Misconceptions.
Informatica (Slovenia), 1996
Global discretization of continuous attributes as preprocessing for machine learning.
Int. J. Approx. Reason., 1996
Intell. Autom. Soft Comput., 1996
1995
Comput. Intell., 1995
1994
J. Am. Medical Informatics Assoc., 1994
1993
Selected Algorithms of Machine Learning from Examples.
Fundam. Informaticae, 1993
ESEP: An Expert System for Environmental Protection.
Proceedings of the Rough Sets, 1993
Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets.
Proceedings of the Rough Sets, 1993
Artificial Intelligence - Introduction.
Proceedings of the Computing and Information, 1993
1992
Proceedings of the Intelligent Decision Support, 1992
1991
On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples.
Int. J. Softw. Eng. Knowl. Eng., 1991
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991
1990
A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples.
Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990
1989
Proceedings of the Second International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, IEA/AIE 1989, June 6-9, 1989, Tullahoma, TN, USA, 1989
1988
J. Intell. Robotic Syst., 1988
1987
Learning from Examples based on Rough Multisets.
Proceedings of the Methodologies for Intelligent Systems, 1987
1986
Proceedings of the ACM SIGCOMM conference on Communications architectures & protocols, 1986
Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, 1986
1975
On partitions of the state set and relations in the input semigroup of automata (Russian).
J. Inf. Process. Cybern., 1975
Proceedings of the Mathematical Foundations of Computer Science 1975, 1975
Proceedings of the GI - 5. Jahrestagung, Dortmund, 8.-10. Oktober 1975, 1975
1974
Proceedings of the Mathematical Foundations of Computer Science, 1974
1973
On the Connectivity of the Periodic Sum of Automata.
Proceedings of the Mathematical Foundations of Computer Science: Proceedings of Symposium and Summer School, 1973
Proceedings of the Gesellschaft für Informatik e.V., 1973
1971
IEEE Trans. Computers, 1971
IEEE Trans. Computers, 1971
J. Comput. Syst. Sci., 1971
1970
J. ACM, 1970
1969
J. ACM, 1969