Jerzy W. Grzymala-Busse

According to our database1, Jerzy W. Grzymala-Busse
  • authored at least 180 papers between 1969 and 2018.
  • has a "Dijkstra number"2 of four.

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Bibliography

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

Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
A Comparison of Mining Incomplete and Inconsistent Data.
ITC, 2017

Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
Proceedings of the Rough Sets - International Joint Conference, 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

A Comparison of Four Approaches to Discretization Based on Entropy.
Entropy, 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

Definability in Mining Incomplete Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

A Comparison of Mining Incomplete and Inconsistent Data.
Proceedings of the Information and Software Technologies - 22nd International Conference, 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
A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm.
Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

Rule Induction from Rough Approximations.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Consistency of incomplete data.
Inf. Sci., 2015

A Rough Set Approach to Incomplete Data.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Mining Incomplete Data with Many Lost and Attribute-Concept Values.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5.
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, 2015

2014
Mining Inconsistent Data with Probabilistic Approximations.
Proceedings of the Issues and Challenges in Artificial Intelligence, 2014

Mining incomplete data with singleton, subset and concept probabilistic approximations.
Inf. Sci., 2014

Generalized probabilistic approximations of incomplete data.
Int. J. Approx. Reasoning, 2014

An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets.
Fundam. Inform., 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

Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Mining incomplete data with lost values and attribute-concept values.
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

Generalized Probabilistic Approximations.
Trans. Rough Sets, 2013

An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction.
Fundam. Inform., 2013

Discretization Based on Entropy and Multiple Scanning.
Entropy, 2013

Generalizations of Approximations.
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

Generalized probabilistic approximations.
Proceedings of the 6th International Conference on Human System Interactions, 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

Consistency of Incomplete Data.
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.
IJGCRSIS, 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

Local Probabilistic Approximations for Incomplete Data.
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
Preface: A rough set approach to data mining.
Int. J. Intell. Syst., 2011

Probabilistic rule induction with the LERS data mining system.
Int. J. Intell. Syst., 2011

Generalized Parameterized Approximations.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Mining Incomplete Data - A Rough Set Approach.
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

Experiments on probabilistic approximations.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Handling Missing Attribute Values.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Rule Induction.
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

Mining Numerical Data - A Rough Set Approach.
Trans. Rough Sets, 2010

A Local Version of the MLEM2 Algorithm for Rule Induction.
Fundam. Inform., 2010

Rough set and CART approaches to mining incomplete data.
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

A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Sensitivity and Specificity for Mining Data with Increased Incompleteness.
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

Selected Topics of Data Mining.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Rough Sets and Data Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Rule Induction, Missing Attribute Values and Discretization.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach.
Fundam. Inform., 2009

A Multiple Scanning Strategy for Entropy Based Discretization.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Local Approximations.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Synthesis of Static Medical Images with an Active Shape Model.
Proceedings of the Man-Machine Interactions, 2009

2008
MLEM2 Rule Induction Algorithms: With and Without Merging Intervals.
Proceedings of the Data Mining: Foundations and Practice, 2008

Three Approaches to Missing Attribute Values: A Rough Set Perspective.
Proceedings of the Data Mining: Foundations and Practice, 2008

Synthesis of Medical Images in the Domain of Melanocytic Skin Lesions.
Proceedings of the Information Technologies in Biomedicine, 2008

Local and Global Approximations for Incomplete Data.
Trans. Rough Sets, 2008

Approximation Space and LEM2-like Algorithms for Computing Local Coverings.
Fundam. Inform., 2008

A Comparison of Six Approaches to Discretization-A Rough Set Perspective.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

A Comparison of the LERS Classification System and Rule Management in PRSM.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Inducing Better Rule Sets by Adding Missing Attribute Values.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach.
Proceedings of the ICSOFT 2008, 2008

2007
Deriving Belief Networks and Belief Rules from Data: A Progress Report.
Trans. Rough Sets, 2007

An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values.
Trans. Rough Sets, 2007

Neonatal Infection Diagnosis Using Constructive Induction in Data Mining.
Proceedings of the Rough Sets, 2007

Mining Numerical Data - A Rough Set Approach.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Mining Mass Spectrometry Database Search Results - A Rough Set Approach.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

A Comparison of Three Approximation Strategies for Incomplete Data Sets.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach.
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
Rough Set Strategies to Data with Missing Attribute Values.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

A Rough Set Approach to Data with Missing Attribute Values.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Mining of MicroRNA Expression Data - A Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Local and Global Approximations for Incomplete Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Leukemia Prediction from Gene Expression Data-A Rough Set Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

A comparison of two partial matching strategies for classification of unseen cases.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.
, 2005

A Comparison of Two Approaches to Data Mining from Imbalanced Data.
J. Intelligent Manufacturing, 2005

Infoscience technology: the impact of internet accessible melanoid data on health issues.
Data Science Journal, 2005

Handling Missing Attribute Values in Preterm Birth Data Sets.
Proceedings of the Rough Sets, 2005

Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.
Proceedings of the Rough Sets, 2005

Data Mining Analysis of Granular Bed Caking during Hop Extraction.
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.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Discriminant versus Strong Rule Sets.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Data Mining Experiments on Hop Processing Data.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Classification of Medical Images in the Domain of Melanoid Skin Lesions.
Proceedings of the Computer Recognition Systems, 2005

Data Mining Methods Supporting Diagnosis of Melanoma.
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

Three Strategies to Rule Induction from Data with Numerical Attributes.
, 2004

Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction.
, 2004

Rules from Belief Networks: A Rough Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.
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

A Comparison of Two Approaches to Data Mining from Imbalanced Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Diagnosis of Melanoma Using IRIM, a Data Mining System.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Rough Set Approach to Incomplete Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Increasing sensitivity of preterm birth by changing rule strengths.
Pattern Recognition Letters, 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.
Electr. Notes Theor. Comput. Sci., 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

A Search for the Best Data Mining Method to Predict Melanoma.
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

Postprocessing of Rule Sets Induced from a Melanoma Data Set.
Proceedings of the 26th International Computer Software and Applications Conference (COMPSAC 2002), 2002

2001
Three discretization methods for rule induction.
Int. J. Intell. Syst., 2001

Coping with Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach.
Computational Intelligence, 2001

Analysis of Self-Injurious Behavior by the LERS Data Mining System.
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

Melanoma Prediction Using Data Mining System LERS.
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
Data Mining and Rough Set Theory.
Commun. ACM, 2000

A Comparison of Several Approaches to Missing Attribute Values in Data Mining.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

A Comparison of Rule Matching Methods Used in AQ15 and LERS.
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
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data.
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

Classification Strategies Using Certain and Possible Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

1997
Classification of Unseen Examples Under Uncertainty.
Fundam. Inform., 1997

A New Version of the Rule Induction System LERS.
Fundam. Inform., 1997

A Machine Learning Experiment to Determine Part of Speech from Word-Endings.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

1996
Partition Triples: A Tool for Reduction of Data Sets.
J. Comput. Syst. Sci., 1996

Rough Sets: Facts Versus Misconceptions.
Informatica (Slovenia), 1996

Global discretization of continuous attributes as preprocessing for machine learning.
Int. J. Approx. Reasoning, 1996

An Algorithm for Data Reduction in Learning from Examples.
Intelligent Automation & Soft Computing, 1996

1995
The Usefulness of a Machine Learning Approach to Knowledge Acquisition.
Computational Intelligence, 1995

Rough Sets.
Commun. ACM, 1995

1994
Research Paper: Machine Learning for an Expert System to Predict Preterm Birth Risk.
JAMIA, 1994

1993
Selected Algorithms of Machine Learning from Examples.
Fundam. Inform., 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

1991
On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples.
International Journal of Software Engineering and Knowledge Engineering, 1991

On the Unknown Attribute Values in Learning from Examples.
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.
IEA/AIE (Vol. 2), 1990

1989
An overview of the LERS1 learning system.
IEA/AIE (2), 1989

1988
Knowledge acquisition under uncertainty - a rough set approach.
Journal of Intelligent and Robotic Systems, 1988

1987
New communication protocols from old.
Computer Communication Review, 1987

Learning from Examples based on Rough Multisets.
Proceedings of the Methodologies for Intelligent Systems, 1987

1986
Characterization of State-Independent Automata.
Theor. Comput. Sci., 1986

Tier automation representation of communication protocols.
Proceedings of the ACM SIGCOMM conference on Communications architectures & protocols, 1986

1975
On partitions of the state set and relations in the input semigroup of automata (Russian).
Elektronische Informationsverarbeitung und Kybernetik, 1975

On the Set of All Automata with the Same Monoid of Endomorphisms.
Proceedings of the Mathematical Foundations of Computer Science 1975, 1975

Problems of the Change of Operating Time of Finite Automata.
Proceedings of the GI - 5. Jahrestagung, Dortmund, 8.-10. Oktober 1975, 1975

1974
On the Periodic Sum and Extensions of Finite Automata.
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

On the Problem of Automata Set Representation.
Proceedings of the Gesellschaft für Informatik e.V., 1973

1971
On the Decomposition of Periodic Representations of Sequential Machines.
IEEE Trans. Computers, 1971

Periodic Representations and T-Partitionable Equivalents of Sequential Machines.
IEEE Trans. Computers, 1971

Operation-Preserving Functions and Autononous Factors of Finite Automata.
J. Comput. Syst. Sci., 1971

1970
On the Endomorphisms of Finite Automata.
Mathematical Systems Theory, 1970

Errata: "On the Periodic Representations and the Reducibility of Periodic Automata".
J. ACM, 1970

1969
Erratum: "Automorphisms of polyadic automata".
J. ACM, 1969

On the Periodic Representations and the Reducibility of Periodic Automata.
J. ACM, 1969

Automorphisms of Polyadic Automata.
J. ACM, 1969


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