D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 10,674 174 World Ranking 7018 National Ranking 3314

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Jerzy W. Grzymala-Busse mainly focuses on Rough set, Rule induction, Data mining, Algorithm and Decision table. His work on Dominance-based rough set approach as part of general Rough set study is frequently connected to Generalization, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His studies in Rule induction integrate themes in fields like Rule of inference, Missing data, Data set, Relation and Decision rule.

His study explores the link between Decision table and topics such as Attribute domain that cross with problems in Imputation. He has included themes like Expert system and Knowledge extraction in his Machine learning study. The various areas that Jerzy W. Grzymala-Busse examines in his Knowledge extraction study include Soft set, Inductive reasoning, Decision analysis, Intelligent decision support system and Reduct.

His most cited work include:

  • Rough sets (6144 citations)
  • LERS-A System for Learning from Examples Based on Rough Sets (575 citations)
  • A New Version of the Rule Induction System LERS (414 citations)

What are the main themes of his work throughout his whole career to date?

Jerzy W. Grzymala-Busse mainly investigates Rough set, Data mining, Rule induction, Artificial intelligence and Algorithm. Dominance-based rough set approach and Attribute domain are among the areas of Rough set where he concentrates his study. His research in Data mining intersects with topics in Probabilistic logic and Data set.

His Rule induction research is multidisciplinary, incorporating elements of Rule of inference, Decision table, Rule sets and Word error rate. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. The concepts of his Machine learning study are interwoven with issues in Expert system and Knowledge acquisition.

He most often published in these fields:

  • Rough set (51.84%)
  • Data mining (49.80%)
  • Rule induction (47.35%)

What were the highlights of his more recent work (between 2012-2021)?

  • Probabilistic approximations (19.18%)
  • Algorithm (33.47%)
  • Word error rate (22.45%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Probabilistic approximations, Algorithm, Word error rate, Rule induction and Data mining. His Probabilistic approximations study is associated with Rough set. His Word error rate study incorporates themes from Statistics, Cross-validation, Data set, Decision tree and Pattern recognition.

His work deals with themes such as Probability theory and Decision table, which intersect with Rule induction. His research investigates the connection between Data mining and topics such as Probabilistic logic that intersect with issues in Equivalence relation. His work in the fields of Expert system overlaps with other areas such as Supervised learning.

Between 2012 and 2021, his most popular works were:

  • Generalized probabilistic approximations of incomplete data (62 citations)
  • Generalized probabilistic approximations of incomplete data (62 citations)
  • Discretization Based on Entropy and Multiple Scanning (25 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

Algorithm, Probabilistic approximations, Word error rate, Rule induction and Rough set are his primary areas of study. He combines subjects such as If and only if, Mathematical optimization, Decision rule and Benchmark data with his study of Algorithm. Probabilistic approximations is the subject of his research, which falls under Data mining.

Attribute domain is closely connected to Statistics in his research, which is encompassed under the umbrella topic of Rule induction. His Rough set research incorporates elements of Cross-validation and Data set. His Data set study combines topics in areas such as Expert system, Machine learning and Decision table.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Rough sets

Zdzislaw Pawlak;Jerzy Grzymala-Busse;Roman Slowinski;Wojciech Ziarko.
Communications of The ACM (1995)

10236 Citations

LERS-A System for Learning from Examples Based on Rough Sets

Jerzy W. Grzymala-Busse.
Intelligent Decision Support (1992)

915 Citations

A New Version of the Rule Induction System LERS

Jerzy W. Grzymala-Busse.
Fundamenta Informaticae (1997)

645 Citations

A Comparison of Several Approaches to Missing Attribute Values in Data Mining

Jerzy W. Grzymala-Busse;Ming Hu.
Lecture Notes in Computer Science (2000)

509 Citations

Global discretization of continuous attributes as preprocessing for machine learning

Michal R. Chmielewski;Jerzy W. Grzymala-Busse.
International Journal of Approximate Reasoning (1996)

470 Citations

Knowledge Acquisition under Uncertainty- a Rough Set Approach

Jerzy W. Grzymala-Busse.
Journal of Intelligent and Robotic Systems (1988)

387 Citations

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

Jerzy W. Grzymala-Busse;Jerzy W. Grzymala-Busse.
Lecture Notes in Computer Science (2004)

316 Citations

Rough sets : New horizons in commercial and industrial AI

Z. Pawlak;J. Grzymala-Busse;R. Slowinski;W. Ziarko.
Communications of The ACM (1995)

289 Citations

Transactions on Rough sets I

James F. Peters;Andrzej Skowron;Jerzy W. Grzymała-Busse;Bożena Kostek.
(2004)

278 Citations

On the Unknown Attribute Values in Learning from Examples

Jerzy W. Grzymala-Busse.
international syposium on methodologies for intelligent systems (1991)

258 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Jerzy W. Grzymala-Busse

Yiyu Yao

Yiyu Yao

University of Regina

Publications: 128

Roman Słowiński

Roman Słowiński

Poznań University of Technology

Publications: 127

Andrzej Skowron

Andrzej Skowron

University of Warsaw

Publications: 89

Salvatore Greco

Salvatore Greco

University of Portsmouth

Publications: 87

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 79

Wei-Zhi Wu

Wei-Zhi Wu

Zhejiang Ocean University

Publications: 66

Duoqian Miao

Duoqian Miao

Tongji University

Publications: 55

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 55

Tsau Young Lin

Tsau Young Lin

San Jose State University

Publications: 54

Guoyin Wang

Guoyin Wang

Chongqing University of Posts and Telecommunications

Publications: 53

Gwo-Hshiung Tzeng

Gwo-Hshiung Tzeng

National Taipei University

Publications: 51

Masahiro Inuiguchi

Masahiro Inuiguchi

Osaka University

Publications: 50

Jerzy Stefanowski

Jerzy Stefanowski

Poznań University of Technology

Publications: 48

Benedetto Matarazzo

Benedetto Matarazzo

University of Catania

Publications: 47

Chris Cornelis

Chris Cornelis

Ghent University

Publications: 43

James F. Peters

James F. Peters

University of Manitoba

Publications: 42

Trending Scientists

C. Siva Ram Murthy

C. Siva Ram Murthy

Indian Institute of Technology Madras

Jan K. G. Dhont

Jan K. G. Dhont

Forschungszentrum Jülich

Thomas D. Fox

Thomas D. Fox

Cornell University

Yoshimitsu Fukushima

Yoshimitsu Fukushima

Shinshu University

W. Stanley Harpole

W. Stanley Harpole

Martin Luther University Halle-Wittenberg

Ben T. McDaniel

Ben T. McDaniel

North Carolina State University

Yuan-Tsong Chen

Yuan-Tsong Chen

Academia Sinica

Diane M. Citron

Diane M. Citron

Michigan State University

Gregory C. Beroza

Gregory C. Beroza

Stanford University

Niklaus Kämpfer

Niklaus Kämpfer

University of Bern

Sanford Sillman

Sanford Sillman

University of Michigan–Ann Arbor

Benjamin S. Giese

Benjamin S. Giese

Texas A&M University

Gregory D. Cascino

Gregory D. Cascino

Mayo Clinic

David J. Kelvin

David J. Kelvin

Dalhousie University

John M. Hutson

John M. Hutson

Royal Children's Hospital

Gianfranco Ferraccioli

Gianfranco Ferraccioli

Catholic University of the Sacred Heart

Something went wrong. Please try again later.