Jerzy Witold Grzymala-busse

Jerzy Witold Grzymala-busse's AcademicInfluence.com Rankings

Computer Science

#6840

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#7206

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Data Mining

#159

World Rank

#159

Historical Rank

Machine Learning

#2352

World Rank

#2381

Historical Rank

Artificial Intelligence

#2631

World Rank

#2672

Historical Rank

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Computer Science

Jerzy Witold Grzymala-busse's Degrees

PhD Computer Science University of Kansas
Masters Computer Science University of Kansas
Bachelors Computer Science University of Kansas

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Jerzy Witold Grzymala-busse's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

LERS-A System for Learning from Examples Based on Rough Sets (1992) (693)
A New Version of the Rule Induction System LERS (1997) (482)
A Comparison of Several Approaches to Missing Attribute Values in Data Mining (2000) (441)
Global discretization of continuous attributes as preprocessing for machine learning (1996) (378)
From the Rough Set Theory to the Evidence Theory (1991) (300)
Knowledge acquisition under uncertainty — a rough set approach (1988) (281)
Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction (2004) (240)
On the Unknown Attribute Values in Learning from Examples (1991) (201)
Transactions on Rough Sets I (2004) (195)
Rough sets : New horizons in commercial and industrial AI (1995) (193)
Managing uncertainty in expert systems (1991) (186)
Rough Set Strategies to Data with Missing Attribute Values (2006) (180)
Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation (2004) (168)
Three discretization methods for rule induction (2001) (110)
Three Approaches to Missing Attribute Values: A Rough Set Perspective (2008) (98)
A Comparison of Two Approaches to Data Mining from Imbalanced Data (2004) (86)
Rough Set Approaches to Rule Induction from Incomplete Data (2004) (83)
Data mining based on rough sets (2003) (74)
Local and Global Approximations for Incomplete Data (2006) (74)
Research Paper: Machine Learning for an Expert System to Predict Preterm Birth Risk (1994) (73)
An Approach to Imbalanced Data Sets Based on Changing Rule Strength (2004) (71)
Transactions on Rough Sets VI, Commemorating the Life and Work of Zdzislaw Pawlak, Part I (2007) (69)
Handling Missing Attribute Values (2010) (66)
Generalized probabilistic approximations of incomplete data (2014) (66)
Algebraic properties of knowledge representation systems (1986) (64)
Generalized Parameterized Approximations (2011) (56)
On rough sets and information system homomorphisms (1988) (56)
Handling Missing Attribute Values in Preterm Birth Data Sets (2005) (55)
Rule Induction (2005) (52)
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations (2005) (52)
An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values (2007) (50)
Three Strategies to Rule Induction from Data with Numerical Attributes (2003) (50)
Experiments on probabilistic approximations (2011) (48)
Melanoma prediction using data mining system LERS (2001) (48)
MLEM2 - Discretization During Rule Induction (2003) (47)
The Rule Induction System LERS-a version for personal computers in Foun-dations of Computing and Dec (1993) (46)
Data mining and rough set theory (2000) (43)
A Rough Set Approach to Data with Missing Attribute Values (2006) (42)
A Local Version of the MLEM2 Algorithm for Rule Induction (2010) (42)
Classification Strategies Using Certain and Possible Rules (1998) (41)
Automorphisms of Polyadic Automata (1969) (40)
Mining Numerical Data - A Rough Set Approach (2007) (39)
Entropy of English Text: Experiments with Humans and a Machine Learning System Based on Rough Sets (1998) (39)
On the Best Search Method in the LEM1 and LEM2 Algorithms (1998) (38)
Discretization Based on Entropy and Multiple Scanning (2013) (38)
The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing. (1991) (37)
On the reduction of knowledge representation systems (1987) (37)
Rough Set Theory with Applications to Data Mining (2011) (34)
Increasing sensitivity of preterm birth by changing rule strengths (2003) (33)
LERS - A Data Mining System (2005) (33)
Definability and Other Properties of Approximations for Generalized Indiscernibility Relations (2010) (31)
Mining incomplete data with singleton, subset and concept probabilistic approximations (2014) (30)
Improving prediction of preterm birth using a new classification scheme and rule induction. (1994) (27)
A Comparison of Six Approaches to Discretization-A Rough Set Perspective (2008) (27)
Coping With Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach (2001) (27)
Global temperature stability by rule induction: An interdisciplinary bridge (1994) (27)
Transactions on Rough Sets XIII (2011) (26)
THE USEFULNESS OF A MACHINE LEARNING APPROACH TO KNOWLEDGE ACQUISITION (1995) (26)
Artificial Intelligence - Introduction (1993) (26)
Leukemia Prediction from Gene Expression Data-A Rough Set Approach (2006) (25)
Probabilistic rule induction with the LERS data mining system (2011) (24)
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data (1999) (22)
Mining of MicroRNA Expression Data - A Rough Set Approach (2006) (22)
Learning from Examples based on Rough Multisets (1987) (22)
Selected Algorithms of Machine Learning from Examples (1993) (21)
An overview of the LERS1 learning system (1989) (20)
A comparison of three closest fit approaches to missing attribute values in preterm birth data (2002) (20)
Rough Set Approach to Incomplete Data (2004) (20)
Definability of Approximations for a Generalization of the Indiscernibility Relation (2007) (20)
An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification (2010) (20)
Experiments on rule induction from incomplete data using three probabilistic approximations (2012) (20)
Optimization of the ABCD Formula Used for Melanoma Diagnosis (2003) (20)
Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data (2017) (17)
Data mining issues for improved birth outcomes. (1997) (16)
Consistency of incomplete data (2015) (16)
Rule Induction using Probabilistic Approximations and Data with Missing Attribute Values (2012) (16)
Transactions on Rough Sets II: Rough Sets and Fuzzy Sets (Lecture Notes in Computer Science) (2005) (15)
A Comparison of Four Approaches to Discretization Based on Entropy (2016) (15)
Data mining methods supporting diagnosis of melanoma (2005) (14)
Diagnosing skin melanoma: current versus future directions (2003) (14)
Generalized probabilistic approximations (2013) (14)
Rules from Belief Networks: A Rough Set Approach (2004) (14)
Postprocessing of rule sets induced from a melanoma data set (2002) (13)
A Multiple Scanning Strategy for Entropy Based Discretization (2009) (13)
Local Probabilistic Approximations for Incomplete Data (2012) (13)
MLEM2 Rule Induction Algorithms: With and Without Merging Intervals (2008) (12)
Analyzing the relation between heart rate, problem behavior, and environmental events using data mining system LERS (2001) (11)
A Search for the Best Data Mining Method to Predict Melanoma (2002) (11)
A Comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data (2018) (11)
Infoscience technology: the impact of internet accessible melanoid data on health issues (2005) (11)
Predicting Penetration Across the Blood-Brain Barrier A Rough Set Approach (2007) (11)
Data compression in machine learning applied to natural language (1993) (10)
An improved comparison of three rough set approaches to missing attribute values (2010) (10)
Rough set and CART approaches to mining incomplete data (2010) (10)
Classification and synthesis of medical images in the domain of melanocytic skin lesions (2008) (10)
A Machine Learning Experiment to Determine Part of Speech from Word-Endings (1997) (10)
Inducing Better Rule Sets by Adding Missing Attribute Values (2008) (10)
On the Periodic Representations and the Reducibility of Periodic Automata (1969) (9)
A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma (2002) (9)
Data reduction: discretization of numerical attributes (2002) (9)
Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System (2004) (9)
MACHINE LEARNING & KNOWLEDGE ACQUISITION, ROUGH SETS, AND THE ENGLISH SEMANTIC CODE (1997) (9)
Melanocytic skin lesion image classification. Part I: Recognition of skin lesion (2010) (8)
Classification of Unseen Examples Under Uncertainty (1997) (8)
Deriving Belief Networks and Belief Rules from Data: A Progress Report (2007) (8)
Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets (1993) (8)
Functional Behavioral Assessment Using the LERS Data Mining System—Strategies for Understanding Complex Physiological and Behavioral Patterns (2003) (8)
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm (2010) (7)
Diagnosis of Melanoma Using IRIM, a Data Mining System (2004) (7)
ESEP: An Expert System for Environmental Protection (1993) (7)
Rule Induction from Rough Approximations (2015) (7)
Machine learning for development of an expert system to predict premature birth. (1995) (7)
Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms (2001) (7)
Operation-Preserving Functions and Autononous Factors of Finite Automata (1971) (7)
Data mining analysis of granular bed caking during hop extraction (2005) (7)
How Good Are Probabilistic Approximations for Rule Induction from Data with Missing Attribute Values? (2012) (7)
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations (2013) (7)
Rough Sets: Facts Versus Misconceptions (1996) (7)
Mining Incomplete Data with Many Missing Attribute Values A Comparison of Probabilistic and Rough Set Approaches (2013) (6)
Approximation Space and LEM2-like Algorithms for Computing Local Coverings (2008) (6)
Analysis of Self-Injurious Behavior by the LERS Data Mining System (2001) (6)
Mining incomplete data with lost values and attribute-concept values (2014) (6)
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence (2013) (6)
Mining Incomplete Data with Attribute-Concept Values and "Do Not Care" Conditions (2014) (6)
Mining Incomplete Data - A Rough Set Approach (2011) (6)
Two Rough Set Approaches to Mining Hop Extraction Data (2008) (6)
A comparison of positive, boundary, and possible rules using the MLEM2 rule induction algorithm (2010) (6)
Definability in Mining Incomplete Data (2016) (6)
Mining data with numerical attributes and missing attribute values — A rough set approach (2011) (5)
A valued tolerance approach to missing attribute values in data mining (2009) (5)
Diagnosis of Melanoma Based on Data Mining and ABCD Formulars (2003) (5)
Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations (2019) (5)
Experiments on Data with Three Interpretations of Missing Attribute Values - A Rough Set Approach (2006) (5)
A Comparison of Two Approaches to Discretization: Multiple Scanning and C4.5 (2015) (5)
Characterization of State-Independent Automata (1986) (5)
Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem (2005) (5)
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm (2012) (5)
Improving Quality of Rule Sets by Increasing Incompleteness of Data Sets - A Rough Set Approach (2008) (5)
Randomized Dynamic Generation of Selected Melanocytic Skin Lesion Features (2006) (5)
A Comparison of Rule Matching Methods Used in AQ15 and LERS (2000) (5)
A new machine learning tool for mining brain stroke data (2010) (5)
Periodic Representations and T-Partitionable Equivalents of Sequential Machines (1971) (5)
Further Research on Automatic Estimation of Asymmetry of Melanocytic Skin Lesions (2012) (5)
On the endomorphisms of finite automata (1970) (5)
A Comparison of the LERS Classification System and Rule Management in PRSM (2008) (5)
Prediction of severe brain damage outcome using two data mining methods (2008) (5)
Mining incomplete data with many attribute-concept values and "do not care" conditions (2015) (4)
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm (2010) (4)
Comparison of Consistent and Inconsistent Models in Biomedical Domain: A Rough Sets Approach to Melanoma Data (2003) (4)
Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets (2020) (4)
A Comparison of Less Specific Versus More Specific Rules for Preterm Birth Prediction (1996) (4)
A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations (2017) (4)
Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks (2020) (4)
A Comparison of Two Versions of the MLEM2 Rule Induction Algorithm Extended to Probabilistic Approximations (2014) (4)
Preterm Birth Risk Assessed by a New Method of Classifikation Using Selective Partial Matching (1999) (4)
Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks (2018) (4)
Classification of Medical Images in the Domain of Melanoid Skin Lesions (2005) (4)
An Extended Comparison of Six Approaches to Discretization - A Rough Set Approach (2009) (4)
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations (2016) (4)
A Comparison of Some Rough Set Approaches to Mining Symbolic Data with Missing Attribute Values (2011) (3)
A new algorithm for generation of decision trees (2004) (3)
Data Mining Experiments with the Melanoma Data Set (2000) (3)
Generalizations of Approximations (2013) (3)
A comparison of traditional and rough set approaches to missing attribute values in data mining (2009) (3)
MINING DATA WITH MISSING ATTRIBUTE VALUES: A COMPARISON OF PROBABILISTIC AND ROUGH SET APPROACHES (2009) (3)
Asymmetry of Digital Images Describing Melanocytic Skin Lesions (2011) (3)
On the Lower Boundaries in Learning Rules from Examples (1998) (3)
A Rough Set Approach to Incomplete Data (2015) (3)
Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions (2014) (3)
Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks (2020) (3)
From the Research on Synthesis of Static Images of Melanocytic Skin Lesions (2009) (3)
Experiments on mining inconsistent data with bagging and the MLEM2 rule induction algorithm (2012) (3)
Using rule induction for prediction of self-injuring behavior in animal models of development disabilities (2001) (3)
Machine Learning for Development of an Expert System to Support Nurses’ Assessment of Preterm Birth Risk (1998) (3)
A comparison of four tests for attribute dependency in the LEM and LERS systems for learning from examples (1990) (3)
On the Choice of the Best Test for Attribute Dependency in Programs for Learning from Examples (1991) (3)
An Analysis of Probabilistic Approximations for Rule Induction from Incomplete Data Sets (2014) (3)
A Preliminary Attempt to Validation of Glasgow Outcome Scale for Describing Severe Brain Damages (2009) (3)
Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing (2008) (3)
Partition Triples: A Tool for Reduction of Data Sets (1996) (2)
A Comparison of Three Approximation Strategies for Incomplete Data Sets (2007) (2)
Local Approximations (2009) (2)
A Comparison of Mining Incomplete and Inconsistent Data (2016) (2)
Rough Sets and Knowledge Technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012 (2012) (2)
A Machine Learning Approach to Mining Brain Stroke Data (2012) (2)
Rule Induction, Missing Attribute Values and Discretization (2009) (2)
Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results (2009) (2)
Mining Mass Spectrometry Database Search Results - A Rough Set Approach (2007) (2)
Merging of Numerical Intervals in Entropy-Based Discretization (2018) (2)
Rough Sets and Current Trends in Computing, 6th International Conference, RSCTC 2008, Akron, OH, USA, October 23-25, 2008, Proceedings (2008) (2)
Proceedings of the 7th international conference on Rough Sets and Knowledge Technology (2006) (2)
Data mining experiments on hop processing data (2005) (2)
Rough Sets and Data Mining (2009) (2)
Mining Incomplete Data with Many Lost and Attribute-Concept Values (2015) (1)
Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm (2017) (1)
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets (2010) (1)
Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks (2021) (1)
Applying expert systems to hop extraction monitoring and prediction (2006) (1)
Preface: A rough set approach to data mining (2011) (1)
A Comparison of global and local probabilistic approximations in mining data with many missing attribute values (2013) (1)
Review: Fahiem Bacchus, Representing and Reasoning with Probabilistic Knowledge. A Logical Approach to Probabilities (1999) (1)
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining (2009) (1)
Artificial Intelligence and Soft Computing (2012) (1)
Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations (2019) (1)
A System for Melanoma Diagnosis Based on Data Mining (2013) (1)
On the Decomposition of Periodic Representations of Sequential Machines (1971) (1)
MLEM2 Rule Induction Algorithm with Multiple Scanning Discretization (2017) (1)
On the Periodic Sum and Extensions of Finite Automata (1974) (1)
Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions (2019) (1)
Discriminant versus Strong Rule Sets (2005) (1)
Rough Sets and Granular Computing in Dealing with Missing Attribute Values (2008) (1)
Application of covering algorithm for classification of melanoma spots on the skin (2002) (1)
LEMRG: Decision Rule Generation Algorithm for Mining MicroRNA Expression Data. (2017) (1)
Increasing Data Set Incompleteness May Improve Rule Set Quality (2008) (1)
Reduced Data Sets and Entropy-Based Discretization (2019) (1)
On the Number of Rules and Conditions in Mining Incomoplete Data with Lost Values and Attribute-concept Values (2015) (1)
On some subsets of the partition set (1984) (1)
Attribute Selection Based on Reduction of Numerical Attributes During Discretization (2018) (1)
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and "Do Not Care" Conditions (2015) (1)
Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions (2016) (1)
Sensitivity and Specificity for Mining Data with Increased Incompleteness (2010) (1)
A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm (2015) (1)
Tier automation representation of communication protocols (1986) (1)
Synthesis of Static Medical Images with an Active Shape Model (2009) (1)
On the Connectivity of the Periodic Sum of Automata (1973) (1)
Artificial Intelligence and Soft Computing (2012) (1)
A New Approach to Synthesis of Static Medical Images (2009) (0)
2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010 (2010) (0)
Mining incomplete numerical data sets using C4.5 preceded by Multiple Scanning (2018) (0)
Selected Topics of Data Mining (2010) (0)
Problems of the Change of Operating Time of Finite Automata (1975) (0)
International workshop on Artificial Intelligence in Medical Applications (2013) (0)
On the Problem of Automata Set Representation (1973) (0)
An Algorithm for Data Reduction in Learning from Examples (1996) (0)
Set-Valued Quantitative Approaches (1991) (0)
Announcement: Call for Papers (2001) (0)
Bacchus Fahiem. Representing and reasoning with probabilistic knowledge. A logical approach to probabilities. The MIT Press, Cambridge, Mass., and London, 1991 (©1990), xvii + 233 pp. (1999) (0)
Number 9 (2018) (0)
Definability ofApproximations foraGeneralization oftheIndiscernibility Relation (2007) (0)
Mining Inconsistent Data with Probabilistic Approximations (2014) (0)
A comparison of two partial matching strategies for classification of unseen cases (2006) (0)
An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction (2013) (0)
4 Rough Sets and Data Mining (2015) (0)
Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values (2016) (0)
Aberystwyth University Feature Selection with Fuzzy Decision Reducts (2008) (0)
A Comparison of Seven Discretization Techniques Used for Rule Induction from Data on the Lazy Eye Vision Disorder (2013) (0)
On the Number of Conditions in Mining Incomplete Data Using Characteristic Sets and Maximal Consistent Blocks (2018) (0)
Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations (2014) (0)
Transactions on Rough Sets VI: Commemorating Life and Work of Zdislaw Pawlak, Part I (Lecture Notes in Computer Science) (2007) (0)
A comparison of rough set strategies for pre-term birth data (2002) (0)
Review: V. A. Kozmidiadi, S. S. Marcenkov, On Multi-Head Automata (1973) (0)
Improving Rules Induced from Data Describing Self-Injurious Behaviors by Changing Truncation Cutoff and Strength (2003) (0)
On partitions of the state set and relations in the input semigroup of automata (Russian) (1975) (0)
Erratum: “Automorphisms of polyadic automata” (1969) (0)
On the Set of All Automata with the Same Monoid of Endomorphisms (1975) (0)
Experiments on Mining Incomplete Data — A Rough Set Approach (0)
Public administration and health care: preterm birth prediction (2002) (0)
Problems of rule induction from preterm birth data (2002) (0)
Rule Induction, Missing Attribute Values, and Discretization (2020) (0)
Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks (2018) (0)
A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations (2015) (0)
Errata: `` On the Periodic Representations and the Reducibility of Periodic Automata'' (1970) (0)
An Improved SVM Classifier for Discretization of Attributes using K-Means Clustering (2017) (0)
New communication protocols from old (1987) (0)

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Jerzy Witold Grzymala-busse's AcademicInfluence.com Rankings