Jerzy W. Grzymala-Busse

215 papers A* 1B 12C 21Misc 17Journal 62Unranked 70
YearRankTypeTitle / Venue / Authors
2024 J jnl
Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2023 B conf
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets.
KES
Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2023 J jnl
Global and saturated probabilistic approximations based on generalized maximal consistent blocks.
Log. J. IGPL
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2022 — ed.
Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings
IJCRS
JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li
2021 J jnl
Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks.
Log. J. IGPL
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2021 — conf
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks.
IJCRS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2020 B conf
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
KES
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2020 Misc conf
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
HAIS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2020 — conf
Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets.
ICIST
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2019 C conf
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions.
ISDA
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Rafal Niemiec
2019 — conf
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations.
KES-IDT (1)
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2019 J jnl
Reduced Data Sets and Entropy-Based Discretization.
Entropy
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2019 — conf
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations.
ICIST
Patrick G. Clark, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 — conf
A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
IPMU (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 — conf
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data.
ICIST
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 — ch.
Attribute Selection Based on Reduction of Numerical Attributes During Discretization.
Advances in Feature Selection for Data and Pattern Recognition
Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 J jnl
Characteristic sets and generalized maximal consistent blocks in mining incomplete data.
Inf. Sci.
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 — conf
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 Misc conf
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks.
HAIS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec
2018 J jnl
Merging of Numerical Intervals in Entropy-Based Discretization.
Entropy
Jerzy W. Grzymala-Busse, Teresa Mroczek
2018 — conf
Mining incomplete numerical data sets using C4.5 preceded by Multiple Scanning.
ICNC-FSKD
Cheng Gao, Jerzy W. Grzymala-Busse
2017 C conf
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations.
ISMIS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 J jnl
A Comparison of Mining Incomplete and Inconsistent Data.
Inf. Technol. Control.
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 — conf
Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.
IJCRS (1)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek
2017 — conf
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2017 — conf
MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization.
KES-IDT (1)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 J jnl
A Comparison of Four Approaches to Discretization Based on Entropy.
Entropy
Jerzy W. Grzymala-Busse, Teresa Mroczek
2016 — conf
A Comparison of Mining Incomplete and Inconsistent Data.
ICIST
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 J jnl
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations.
J. Intell. Inf. Syst.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2016 — conf
Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values.
ICAISC (2)
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2016 B conf
Definability in Mining Incomplete Data.
KES
Jerzy W. Grzymala-Busse, Teresa Mroczek
2016 — conf
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions.
IJCRS
Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse
2015 — ch.
A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm.
Feature Selection for Data and Pattern Recognition
Jerzy W. Grzymala-Busse
2015 — conf
A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5.
PReMI
Jerzy W. Grzymala-Busse, Teresa Mroczek
2015 — conf
A Rough Set Approach to Incomplete Data.
RSKT
Jerzy W. Grzymala-Busse
2015 J jnl
Consistency of incomplete data.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2015 — conf
Mining Incomplete Data with Many Lost and Attribute-Concept Values.
RSKT
Patrick G. Clark, Jerzy W. Grzymala-Busse
2015 — conf
Mining incomplete data with many attribute-concept values and "do not care" conditions.
IEEE BigData
Patrick G. Clark, Jerzy W. Grzymala-Busse
2015 — conf
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions.
PReMI
Patrick G. Clark, Jerzy W. Grzymala-Busse
2015 — ed.
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings
RSFDGrC
Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse
2015 — ch.
Rule Induction from Rough Approximations.
Handbook of Computational Intelligence
Jerzy W. Grzymala-Busse
2014 — conf
A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations.
RSCTC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets.
Fundam. Informaticae
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2014 — conf
Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations.
IPMU (1)
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 C conf
Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions.
DATA
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
Generalized probabilistic approximations of incomplete data.
Int. J. Approx. Reason.
Jerzy W. Grzymala-Busse, Patrick G. Clark, Martin Kuehnhausen
2014 Misc conf
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions.
HAIS
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 — ch.
Mining Inconsistent Data with Probabilistic Approximations.
Issues and Challenges in Artificial Intelligence
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2014 Misc conf
Mining incomplete data with lost values and attribute-concept values.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2014 J jnl
Mining incomplete data with singleton, subset and concept probabilistic approximations.
Inf. Sci.
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2013 Misc conf
A Comparison of global and local probabilistic approximations in mining data with many missing attribute values.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 — ch.
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.
Rough Sets and Intelligent Systems (1)
Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao
2013 — conf
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations.
RSFDGrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 J jnl
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction.
Fundam. Informaticae
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 C conf
Consistency of Incomplete Data.
DATA
Patrick G. Clark, Jerzy W. Grzymala-Busse
2013 J jnl
Discretization Based on Entropy and Multiple Scanning.
Entropy
Jerzy W. Grzymala-Busse
2013 — conf
Generalizations of Approximations.
RSKT
Patrick G. Clark, Jerzy W. Grzymala-Busse, Wojciech Rzasa
2013 J jnl
Generalized Probabilistic Approximations.
Trans. Rough Sets
Jerzy W. Grzymala-Busse
2013 C conf
Generalized probabilistic approximations.
HSI
Jerzy W. Grzymala-Busse
2013 — ch.
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence.
Rough Sets and Intelligent Systems (1)
Andrzej Skowron, Mihir K. Chakraborty, Jerzy W. Grzymala-Busse, Victor W. Marek, Sankar K. Pal, James F. Peters, Grzegorz Rozenberg, Dominik Slezak, Roman Slowinski, Shusaku Tsumoto, Alicja Wakulicz-Deja, Guoyin Wang, Wojciech Ziarko
2012 — conf
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm.
IPMU (1)
Jerzy W. Grzymala-Busse
2012 J jnl
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2012 Misc conf
Experiments on rule induction from incomplete data using three probabilistic approximations.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2012 — conf
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values?
RSCTC
Patrick G. Clark, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2012 C conf
Local Probabilistic Approximations for Incomplete Data.
ISMIS
Patrick G. Clark, Jerzy W. Grzymala-Busse, Martin Kuehnhausen
2012 — ed.
Rough Sets and Knowledge Technology - 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012. Proceedings
RSKT
Tianrui Li, Hung Son Nguyen, Guoyin Wang, Jerzy W. Grzymala-Busse, Ryszard Janicki, Aboul Ella Hassanien, Hong Yu
2011 C conf
A Comparison of Some Rough Set Approaches to Mining Symbolic Data with Missing Attribute Values.
ISMIS
Jerzy W. Grzymala-Busse
2011 — ch.
Asymmetry of Digital Images Describing Melanocytic Skin Lesions.
Computer Recognition Systems 4
Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2011 Misc conf
Experiments on probabilistic approximations.
GrC
Patrick G. Clark, Jerzy W. Grzymala-Busse
2011 — conf
Generalized Parameterized Approximations.
RSKT
Jerzy W. Grzymala-Busse
2011 — conf
Mining Incomplete Data - A Rough Set Approach.
RSKT
Jerzy W. Grzymala-Busse
2011 Misc conf
Mining data with numerical attributes and missing attribute values - A rough set approach.
GrC
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2011 J jnl
Preface: A rough set approach to data mining.
Int. J. Intell. Syst.
James F. Peters, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko
2011 J jnl
Probabilistic rule induction with the LERS data mining system.
Int. J. Intell. Syst.
Jerzy W. Grzymala-Busse, Yiyu Yao
2011 — ed.
Transactions on Rough Sets XIII
Trans. Rough Sets
James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko
2010 Misc ed.
2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010
GrC
Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Jerzy W. Grzymala-Busse, Qing Liu, Andrei Z. Broder
2010 C conf
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm.
IDEAL
Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2010 J jnl
A Local Version of the MLEM2 Algorithm for Rule Induction.
Fundam. Informaticae
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2010 C conf
A comparison of positive, boundary, and possible rules using the MLEM2 rule induction algorithm.
HIS
Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao
2010 — conf
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.
RSCTC
Jerzy W. Grzymala-Busse, Shantan R. Marepally, Yiyu Yao
2010 J jnl
Definability and Other Properties of Approximations for Generalized Indiscernibility Relations.
Trans. Rough Sets
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2010 — ch.
Handling Missing Attribute Values.
Data Mining and Knowledge Discovery Handbook
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2010 — ch.
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets.
Advances in Machine Learning I
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2010 Misc conf
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm.
GrC
Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2010 J jnl
Mining Numerical Data - A Rough Set Approach.
Trans. Rough Sets
Jerzy W. Grzymala-Busse
2010 — conf
Rough set and CART approaches to mining incomplete data.
SoCPaR
Jerzy W. Grzymala-Busse
2010 — ch.
Rule Induction.
Data Mining and Knowledge Discovery Handbook
Jerzy W. Grzymala-Busse
2010 Misc conf
Selected Topics of Data Mining.
GrC
Jerzy W. Grzymala-Busse
2010 — conf
Sensitivity and Specificity for Mining Data with Increased Incompleteness.
ICAISC (1)
Jerzy W. Grzymala-Busse, Shantan R. Marepally
2009 C conf
A Multiple Scanning Strategy for Entropy Based Discretization.
ISMIS
Jerzy W. Grzymala-Busse
2009 J jnl
An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach.
Fundam. Informaticae
Piotr Blajdo, Zdzislaw S. Hippe, Teresa Mroczek, Jerzy W. Grzymala-Busse, Maksymilian Knap, Lukasz Piatek
2009 C conf
Local Approximations.
IDEAL
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2009 — ch.
Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results.
Computer Recognition Systems 3
Pawel Cudek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2009 — ch.
Rough Sets and Data Mining.
Encyclopedia of Data Warehousing and Mining
Jerzy W. Grzymala-Busse, Wojciech Ziarko
2009 — ch.
Rule Induction, Missing Attribute Values and Discretization.
Encyclopedia of Complexity and Systems Science
Jerzy W. Grzymala-Busse
2009 — conf
Synthesis of Static Medical Images with an Active Shape Model.
ICMMI
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek
2008 — conf
A Comparison of Six Approaches to Discretization-A Rough Set Perspective.
RSKT
Piotr Blajdo, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Teresa Mroczek, Lukasz Piatek
2008 — conf
A Comparison of the LERS Classification System and Rule Management in PRSM.
RSCTC
Jerzy W. Grzymala-Busse, Yiyu Yao
2008 J jnl
Approximation Space and LEM2-like Algorithms for Computing Local Coverings.
Fundam. Informaticae
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2008 — conf
Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach.
ICSOFT (PL/DPS/KE)
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2008 — conf
Increasing Data Set Incompleteness May Improve Rule Set Quality.
ICSOFT (Selected Papers)
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2008 — conf
Inducing Better Rule Sets by Adding Missing Attribute Values.
RSCTC
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2008 J jnl
Local and Global Approximations for Incomplete Data.
Trans. Rough Sets
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2008 — ch.
MLEM2 Rule Induction Algorithms: With and Without Merging Intervals.
Data Mining: Foundations and Practice
Jerzy W. Grzymala-Busse
2008 — ed.
Rough Sets and Current Trends in Computing, 6th International Conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008, Proceedings
RSCTC
Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech Ziarko
2008 — ed.
Rough Sets and Knowledge Technology, Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings
RSKT
Guoyin Wang, Tianrui Li, Jerzy W. Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yiyu Yao
2008 — ch.
Synthesis of Medical Images in the Domain of Melanocytic Skin Lesions.
Information Technologies in Biomedicine
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek
2008 — ch.
Three Approaches to Missing Attribute Values: A Rough Set Perspective.
Data Mining: Foundations and Practice
Jerzy W. Grzymala-Busse
2007 Misc conf
A Comparison of Three Approximation Strategies for Incomplete Data Sets.
GrC
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe, Wojciech Rzasa
2007 J jnl
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values.
Trans. Rough Sets
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2007 — conf
Definability of Approximations for a Generalization of the Indiscernibility Relation.
FOCI
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2007 J jnl
Deriving Belief Networks and Belief Rules from Data: A Progress Report.
Trans. Rough Sets
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2007 — conf
Mining Mass Spectrometry Database Search Results - A Rough Set Approach.
RSEISP
Jianwen Fang, Jerzy W. Grzymala-Busse
2007 — conf
Mining Numerical Data - A Rough Set Approach.
RSEISP
Jerzy W. Grzymala-Busse
2007 — conf
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining.
RSFDGrC
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Agnieszka Kordek, Teresa Mroczek, Wojciech Podraza
2007 Misc conf
Predicting Penetration Across the Blood-Brain Barrier - A Rough Set Approach.
GrC
Jianwen Fang, Jerzy W. Grzymala-Busse
2007 — ed.
Transactions on Rough Sets VI, Commemorating the Life and Work of Zdzislaw Pawlak, Part I
Trans. Rough Sets
James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy W. Grzymala-Busse, Ewa Orlowska, Lech Polkowski
2006 — conf
A Rough Set Approach to Data with Missing Attribute Values.
RSKT
Jerzy W. Grzymala-Busse
2006 Misc conf
A comparison of two partial matching strategies for classification of unseen cases.
GrC
Jerzy W. Grzymala-Busse, Gustavo P. Sudre
2006 — conf
Experiments on Data with Three Interpretations of Missing Attribute Values - A Rough Set Approach.
Intelligent Information Systems
Jerzy W. Grzymala-Busse, Steven Santoso
2006 Misc conf
Leukemia Prediction from Gene Expression Data-A Rough Set Approach.
ICAISC
Jianwen Fang, Jerzy W. Grzymala-Busse
2006 — conf
Local and Global Approximations for Incomplete Data.
RSCTC
Jerzy W. Grzymala-Busse, Wojciech Rzasa
2006 — conf
Mining of MicroRNA Expression Data - A Rough Set Approach.
RSKT
Jianwen Fang, Jerzy W. Grzymala-Busse
2006 — conf
Randomized Dynamic Generation of Selected Melanocytic Skin Lesion Features.
Intelligent Information Systems
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Lukasz Piatek
2006 — ch.
Rough Set Strategies to Data with Missing Attribute Values.
Foundations and Novel Approaches in Data Mining
Jerzy W. Grzymala-Busse
2005 J jnl
A Comparison of Two Approaches to Data Mining from Imbalanced Data.
J. Intell. Manuf.
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk
2005 — conf
Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem.
Intelligent Information Systems
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek
2005 J jnl
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.
Trans. Rough Sets
Jerzy W. Grzymala-Busse
2005 — conf
Classification of Medical Images in the Domain of Melanoid Skin Lesions.
CORES
Zdzislaw S. Hippe, Jerzy W. Grzymala-Busse, Piotr Blajdo, Maksymilian Knap, Teresa Mroczek, Wieslaw Paja, Mariusz Wrzesien
2005 C conf
Data Mining Analysis of Granular Bed Caking during Hop Extraction.
ISDA
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski
2005 C conf
Data Mining Experiments on Hop Processing Data.
HIS
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Rój, Boleslaw Skowronski
2005 B conf
Data Mining Methods Supporting Diagnosis of Melanoma.
CBMS
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2005 — conf
Discriminant versus Strong Rule Sets.
Intelligent Information Systems
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Jay Hamilton
2005 — conf
Handling Missing Attribute Values in Preterm Birth Data Sets.
RSFDGrC (2)
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng
2005 — ch.
Handling Missing Attribute Values.
The Data Mining and Knowledge Discovery Handbook
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse
2005 — conf
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.
RSFDGrC (1)
Jerzy W. Grzymala-Busse
2005 J jnl
Infoscience technology: the impact of internet accessible melanoid data on health issues.
Data Sci. J.
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Maksymilian Knap, Wieslaw Paja
2005 — ch.
LERS - A Data Mining System.
The Data Mining and Knowledge Discovery Handbook
Jerzy W. Grzymala-Busse
2005 — ch.
Rule Induction.
The Data Mining and Knowledge Discovery Handbook
Jerzy W. Grzymala-Busse
2004 B conf
A Comparison of Two Approaches to Data Mining from Imbalanced Data.
KES
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon Wilk
2004 — ch.
An Approach to Imbalanced Data Sets Based on Changing Rule Strength.
Rough-Neural Computing: Techniques for Computing with Words
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng
2004 — conf
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.
Rough Sets and Current Trends in Computing
Jerzy W. Grzymala-Busse
2004 J jnl
Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction.
Trans. Rough Sets
Jerzy W. Grzymala-Busse
2004 Misc conf
Diagnosis of Melanoma Using IRIM, a Data Mining System.
ICAISC
Jerzy W. Grzymala-Busse, Jay Hamilton, Zdzislaw S. Hippe
2004 — conf
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System.
Rough Sets and Current Trends in Computing
Ron Andrews, Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Chris Whiteley
2004 Misc conf
Rough Set Approach to Incomplete Data.
ICAISC
Jerzy W. Grzymala-Busse
2004 — ed.
Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings
Rough Sets and Current Trends in Computing
Shusaku Tsumoto, Roman Slowinski, Henryk Jan Komorowski, Jerzy W. Grzymala-Busse
2004 — conf
Rules from Belief Networks: A Rough Set Approach.
Rough Sets and Current Trends in Computing
Teresa Mroczek, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2004 J jnl
Three Strategies to Rule Induction from Data with Numerical Attributes.
Trans. Rough Sets
Jerzy W. Grzymala-Busse
2004 — ed.
Transactions on Rough Sets I
Trans. Rough Sets
James F. Peters, Andrzej Skowron, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka
2004 — ed.
Transactions on Rough Sets II
Trans. Rough Sets
James F. Peters, Andrzej Skowron, Didier Dubois, Jerzy W. Grzymala-Busse, Masahiro Inuiguchi, Lech Polkowski
2003 — conf
A Comparison of Three Strategies to Rule Induction from Data with Numerical Attributes.
RSKD
Jerzy W. Grzymala-Busse
2003 C conf
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars.
HIS
Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Zdzislaw S. Hippe
2003 J jnl
Functional Behavioral Assessment Using the LERS Data Mining System - Strategies for Understanding Complex Physiological and Behavioral Patterns.
J. Intell. Inf. Syst.
Rachel L. Freeman, Jerzy W. Grzymala-Busse, Mark Harvey
2003 J jnl
Increasing sensitivity of preterm birth by changing rule strengths.
Pattern Recognit. Lett.
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang
2003 — conf
MLEM2 - Discretization During Rule Induction.
IIS
Jerzy W. Grzymala-Busse
2003 — conf
Optimization of the ABCD Formula Used for Melanoma Diagnosis.
IIS
Alison Alvarez, Stanislaw Bajcar, Frank M. Brown, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2002 — conf
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma.
Intelligent Information Systems
Stanislaw Bajcar, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2002 — conf
A Search for the Best Data Mining Method to Predict Melanoma.
Rough Sets and Current Trends in Computing
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2002 J jnl
A comparison of three closest fit approaches to missing attribute values in preterm birth data.
Int. J. Intell. Syst.
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin
2002 B conf
Postprocessing of Rule Sets Induced from a Melanoma Data Set.
COMPSAC
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2001 — conf
Analysis of Self-Injurious Behavior by the LERS Data Mining System.
JSAI Workshops
Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder
2001 B conf
Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS.
CBMS
Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder
2001 J jnl
Coping with Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach.
Comput. Intell.
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin
2001 B conf
Melanoma Prediction Using Data Mining System LERS.
COMPSAC
Jan P. Grzymala-Busse, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2001 — conf
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms.
Intelligent Information Systems
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2001 J jnl
Three discretization methods for rule induction.
Int. J. Intell. Syst.
Jerzy W. Grzymala-Busse, Jerzy Stefanowski
2001 B conf
Using Rule Induction for Prediction of Self-Injuring Behavior in Animal Models of Development Disabilities.
CBMS
Pippa S. Loupe, Rachel L. Freeman, Jerzy W. Grzymala-Busse, Stephen R. Schroeder
2000 C conf
A Comparison of Rule Matching Methods Used in AQ15 and LERS.
ISMIS
Jerzy W. Grzymala-Busse, Pankaj Shah
2000 — conf
A Comparison of Several Approaches to Missing Attribute Values in Data Mining.
Rough Sets and Current Trends in Computing
Jerzy W. Grzymala-Busse, Ming Hu
2000 — conf
Data Mining Experiments with the Melanoma Data Set.
Intelligent Information Systems
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
2000 J jnl
Data Mining and Rough Set Theory.
Commun. ACM
Jerzy W. Grzymala-Busse, Wojciech Ziarko
1999 — conf
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data.
RSFDGrC
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin
1999 C conf
Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching.
ISMIS
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Xiaohui Zhang
1998 — conf
Classification Strategies Using Certain and Possible Rules.
Rough Sets and Current Trends in Computing
Jerzy W. Grzymala-Busse, Xihong Zou
1998 J jnl
Entropy of English Text: Experiments with Humans and a Machine Learning System Based on Rough Sets.
Inf. Sci.
Hamid Moradi, James A. Roberts, Jerzy W. Grzymala-Busse
1997 C conf
A Machine Learning Experiment to Determine Part of Speech from Word-Endings.
ISMIS
Jerzy W. Grzymala-Busse, L. John Old
1997 J jnl
A New Version of the Rule Induction System LERS.
Fundam. Informaticae
Jerzy W. Grzymala-Busse
1997 J jnl
Classification of Unseen Examples Under Uncertainty.
Fundam. Informaticae
Jerzy W. Grzymala-Busse
1996 J jnl
An Algorithm for Data Reduction in Learning from Examples.
Intell. Autom. Soft Comput.
Jerzy W. Grzymala-Busse, Soe Than
1996 J jnl
Global discretization of continuous attributes as preprocessing for machine learning.
Int. J. Approx. Reason.
Michal R. Chmielewski, Jerzy W. Grzymala-Busse
1996 J jnl
Partition Triples: A Tool for Reduction of Data Sets.
J. Comput. Syst. Sci.
Jerzy W. Grzymala-Busse, Soe Than
1996 J jnl
Rough Sets: Facts Versus Misconceptions.
Informatica (Slovenia)
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Wojciech Ziarko
1995 J jnl
Rough Sets.
Commun. ACM
Zdzislaw Pawlak, Jerzy W. Grzymala-Busse, Roman Slowinski, Wojciech Ziarko
1995 J jnl
The Usefulness of a Machine Learning Approach to Knowledge Acquisition.
Comput. Intell.
Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse
1994 J jnl
Research Paper: Machine Learning for an Expert System to Predict Preterm Birth Risk.
J. Am. Medical Informatics Assoc.
Linda K. Woolery, Jerzy W. Grzymala-Busse
1993 C conf
Artificial Intelligence - Introduction.
ICCI
Jerzy W. Grzymala-Busse
1993 — conf
Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets.
RSKD
Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse
1993 — conf
ESEP: An Expert System for Environmental Protection.
RSKD
Jerzy W. Grzymala-Busse
1993 J jnl
Selected Algorithms of Machine Learning from Examples.
Fundam. Informaticae
Jerzy W. Grzymala-Busse
1992 — ch.
LERS-A System for Learning from Examples Based on Rough Sets.
Intelligent Decision Support
Jerzy W. Grzymala-Busse
1991 J jnl
On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples.
Int. J. Softw. Eng. Knowl. Eng.
Jerzy W. Grzymala-Busse, Sachin Mithal
1991 C conf
On the Unknown Attribute Values in Learning from Examples.
ISMIS
Jerzy W. Grzymala-Busse
1990 — conf
A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples.
IEA/AIE (Vol. 2)
Jerzy W. Grzymala-Busse, Sachin Mithal
1989 — conf
An overview of the LERS1 learning system.
IEA/AIE (2)
Jerzy W. Grzymala-Busse
1988 J jnl
Knowledge acquisition under uncertainty - a rough set approach.
J. Intell. Robotic Syst.
Jerzy W. Grzymala-Busse
1987 C conf
Learning from Examples based on Rough Multisets.
ISMIS
Jerzy W. Grzymala-Busse
1987 J jnl
New communication protocols from old.
Comput. Commun. Rev.
Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia
1986 C conf
Algebraic properties of knowledge representation systems.
ISMIS
Jerzy W. Grzymala-Busse
1986 J jnl
Characterization of State-Independent Automata.
Theor. Comput. Sci.
Jerzy W. Grzymala-Busse, Zamir Bavel
1986 A* conf
Tier automation representation of communication protocols.
SIGCOMM
Zamir Bavel, Jerzy W. Grzymala-Busse, Yen-Teh Hsia, Rodolfo Mancisidor-Landa
1975 J jnl
On partitions of the state set and relations in the input semigroup of automata (Russian).
J. Inf. Process. Cybern.
Jerzy W. Grzymala-Busse
1975 B conf
On the Set of All Automata with the Same Monoid of Endomorphisms.
MFCS
Jerzy W. Grzymala-Busse
1975 — conf
Problems of the Change of Operating Time of Finite Automata.
GI Jahrestagung
Jerzy W. Grzymala-Busse
1974 B conf
On the Periodic Sum and Extensions of Finite Automata.
MFCS
Jerzy W. Grzymala-Busse
1973 B conf
On the Connectivity of the Periodic Sum of Automata.
MFCS
Jerzy W. Grzymala-Busse
1973 — conf
On the Problem of Automata Set Representation.
GI Jahrestagung
Jerzy W. Grzymala-Busse
1971 J jnl
On the Decomposition of Periodic Representations of Sequential Machines.
IEEE Trans. Computers
Jerzy W. Grzymala-Busse
1971 J jnl
Operation-Preserving Functions and Autononous Factors of Finite Automata.
J. Comput. Syst. Sci.
Jerzy W. Grzymala-Busse
1971 J jnl
Periodic Representations and T-Partitionable Equivalents of Sequential Machines.
IEEE Trans. Computers
Jerzy W. Grzymala-Busse
1970 J jnl
Errata: "On the Periodic Representations and the Reducibility of Periodic Automata".
J. ACM
Jerzy W. Grzymala-Busse
1970 J jnl
On the Endomorphisms of Finite Automata.
Math. Syst. Theory
Jerzy W. Grzymala-Busse
1969 J jnl
Automorphisms of Polyadic Automata.
J. ACM
Jerzy W. Grzymala-Busse
1969 J jnl
Erratum: "Automorphisms of polyadic automata".
J. ACM
Jerzy W. Grzymala-Busse
1969 J jnl
On the Periodic Representations and the Reducibility of Periodic Automata.
J. ACM
Jerzy W. Grzymala-Busse