Wojciech Ziarko

Proceedings of the Feature Selection for Data and Pattern Recognition, 2015

2013

Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence.

[BibT_eX]

[DOI]

Andrzej Skowron

Mihir K. Chakraborty

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Weak Dependencies in Approximation Spaces.

[BibT_eX]

[DOI]

Xuguang Chen

Fundam. Informaticae, 2013

2011

Preface: A rough set approach to data mining.

[BibT_eX]

[DOI]

James F. Peters

Chien-Chung Chan

Int. J. Intell. Syst., 2011

Experiments with rough set approach to face recognition.

[BibT_eX]

[DOI]

Xuguang Chen

Int. J. Intell. Syst., 2011

2010

Rough Set-Based Incremental Learning Approach to Face Recognition.

[BibT_eX]

[DOI]

Xuguang Chen

Proceedings of the Rough Sets and Current Trends in Computing, 2010

2009

Rough Sets and Data Mining.

[BibT_eX]

[DOI]

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

2008

Probabilistic Dependencies in Linear Hierarchies of Decision Tables.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2008

A Rough Sets Approach to the Identification and Analysis of Factors Affecting Biological Control of Leafy Spurge.

[BibT_eX]

[DOI]

Mohamed T. Elhadi

Trans. Rough Sets, 2008

Probabilistic approach to rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2008

Probabilistic rough sets: Approximations, decision-makings, and applications.

[BibT_eX]

[DOI]

Jingtao Yao

Yiyu Yao

Int. J. Approx. Reason., 2008

2007

Dependencies in Structures of Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Rough Set Approach to Spam Filter Learning.

[BibT_eX]

[DOI]

Mawuena Glymin

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Use of Rough Sets for the Identification and Analysis of Dependencies and Relationships in Biocontrol of Weeds.

[BibT_eX]

[DOI]

Mohamed T. Elhadi

Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2006

Partition Dependencies in Hierarchies of Probabilistic Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Stochastic Approach to Rough Set Theory.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005

Incremental Learning and Evaluation of Structures of Rough Decision Tables.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2005

The investigation of the Bayesian rough set model.

[BibT_eX]

[DOI]

Dominik Slezak

Int. J. Approx. Reason., 2005

Probabilistic Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

On Computing and Evaluation of Probabilistic Rules from Data.

[BibT_eX]

Proceedings of The 2005 International Conference on Data Mining, 2005

2004

On Learnability of Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2004

Computing Minimal Probabilistic Rules from Probabilistic Decision Tables: Decision Matrix Approach.

[BibT_eX]

[DOI]

Xiang Xiao

Proceedings of the Advances in Web Intelligence, 2004

2003

Acquisition of hierarchy-structured probabilistic decision tables and rules from data.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2003

Attribute Reduction in the Bayesian Version of Variable Precision Rough Set Model.

[BibT_eX]

[DOI]

Dominik Slezak

Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003

Evaluation of Probabilistic Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2003

Variable Precision Bayesian Rough Set Model.

[BibT_eX]

[DOI]

Dominik Slezak

Proceedings of the Rough Sets, 2003

Acquisition of Vehicle Control Algorithms.

[BibT_eX]

Shang Fulian

Proceedings of the Intelligent Information Processing and Web Mining, 2003

2002

VPRSM Approach to WEB Searching.

[BibT_eX]

[DOI]

Xue Fei

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Set Approximation Quality Measures in the Variable Precision Rough Set Model.

[BibT_eX]

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001

Probabilistic Decision Tables in the Variable Precision Rough Set Model.

[BibT_eX]

[DOI]

Comput. Intell., 2001

Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients.

[BibT_eX]

Proceedings of the Intelligent Information Systems 2001, 2001

2000

Data Mining and Rough Set Theory.

[BibT_eX]

[DOI]

Commun. ACM, 2000

Rough Sets: Trends, Challenges, and Prospects.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2000

The Application of a Distance Learning Algorithm in Web-Based Course Delivery.

[BibT_eX]

[DOI]

Aileen H. Liang

R. Brien Maguire

Proceedings of the Rough Sets and Current Trends in Computing, 2000

Optimal Decision Making with Data-Acquired Decision Tables.

[BibT_eX]

Proceedings of the Intelligent Information Systems, 2000

1999

Discovery Through Rough Set Theory.

[BibT_eX]

[DOI]

Commun. ACM, 1999

Decision Making with Probabilistic Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the New Directions in Rough Sets, 1999

Computerized Spelling Recognition of Words Expressed in the Sound Approach.

[BibT_eX]

[DOI]

Michael Higgins

Proceedings of the New Directions in Rough Sets, 1999

Experiments with Rough Sets Approach to Speech Recognition.

[BibT_eX]

[DOI]

David Brindle

Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

1998

Approximation Region-Based Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 1998

1997

Machine Learning Through Data Classification and Reduction.

[BibT_eX]

[DOI]

Fundam. Informaticae, 1997

Applying Knowledge Discovery to Predict Water-Supply Consumption.

[BibT_eX]

[DOI]

IEEE Expert, 1997

Machine Learning of Credible Classifications.

[BibT_eX]

[DOI]

Howard J. Hamilton

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996

Rough Sets: Facts Versus Misconceptions.

[BibT_eX]

Jerzy Stefanowski

Informatica (Slovenia), 1996

On Discovery of Attribute Interactions and Domain Classifications.

[BibT_eX]

[DOI]

Intell. Autom. Soft Comput., 1996

Variable Precision Extension of Rough Sets.

[BibT_eX]

[DOI]

Jack David Katzberg

Fundam. Informaticae, 1996

A Method for Computing All Maximally General Rules in Attribute-Value Systems.

[BibT_eX]

[DOI]

Comput. Intell., 1996

Discovering Classification Knowledge in Databases Using Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Rule Discovery from Databases with Decision Matrices.

[BibT_eX]

[DOI]

Nick Cercone

Xiaohua Hu

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis.

[BibT_eX]

[DOI]

Shusaku Tsumoto

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1995

Response to O'Leary's article.

[BibT_eX]

[DOI]

IEEE Expert, 1995

Introduction to the Special Issue on Rough Sets and Knowledge Discovery.

[BibT_eX]

[DOI]

Comput. Intell., 1995

Data-Based Acqusition and Incremental Modification of Classification Rules.

[BibT_eX]

[DOI]

Comput. Intell., 1995

Rough Sets.

[BibT_eX]

[DOI]

Zdzislaw Pawlak

Roman Slowinski

Commun. ACM, 1995

Using Rough Sets as Tools for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Variable Precision Rough Sets Approach to Predicting Factors Affecting Delay Likelihoods.

[BibT_eX]

[DOI]

Jack David Katzberg

Pauline Katzberg

Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

Discovering attribute relationships, dependencies and rules by using rough sets.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS-28), 1995

A methodology for stock market analysis utilizing rough set theory.

[BibT_eX]

[DOI]

Robert Golan

Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995

1994

Machine learning in transportation engineering: A feasibility study.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 1994

DBROUGH: A Rough Set Based Knowledge Discovery System.

[BibT_eX]

[DOI]

Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

1993

Variable Precision Rough Set Model.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1993

The First International Workshop on Rough Sets: State of the Art and Perspectives.

[BibT_eX]

[DOI]

AI Mag., 1993

Rough Sets and Knowledge Discovery: An Overview.

[BibT_eX]

Proceedings of the Rough Sets, 1993

An Incremental Learning Algorithm for Constructing Decision Rules.

[BibT_eX]

Proceedings of the Rough Sets, 1993

Variable Precision Rough Sets with Asymmetric Bounds.

[BibT_eX]

Jack David Katzberg

Proceedings of the Rough Sets, 1993

Learning Conceptual Design Rules: A Rough Sets Approach.

[BibT_eX]

Tomasz Arciszewski

Tariq L. Khan

Proceedings of the Rough Sets, 1993

1992

Acquisition of Control Algorithms from Operation Data.

[BibT_eX]

[DOI]

Wojciech P. Ziarko

Proceedings of the Intelligent Decision Support, 1992

Knowledge-Based Process Control Using Rough Sets.

[BibT_eX]

[DOI]

Adam J. Szladow

Wojciech P. Ziarko

Proceedings of the Intelligent Decision Support, 1992

1991

The Discovery, Analysis, and Representation of Data Dependencies in Databases.

[BibT_eX]

Proceedings of the Knowledge Discovery in Databases, 1991

1989

Extended Boolean query processing in the generalized vector space model.

[BibT_eX]

[DOI]

Inf. Syst., 1989

1988

An Expert System for Conceptual Schema Design: A Machine Learning Approach.

[BibT_eX]

[DOI]

Ramin Yasdi

Int. J. Man Mach. Stud., 1988

Rough Sets: Probabilistic versus Deterministic Approach.

[BibT_eX]

[DOI]

Zdzislaw Pawlak

Int. J. Man Mach. Stud., 1988

1987

On Modeling of Information Retrieval Concepts in Vector Space.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 1987

A Methodology of Design Knowledge Acquisition for Use in Learning Expert Systems.

[BibT_eX]

[DOI]

Tomasz Arciszewski

M. Mustafa

Int. J. Man Mach. Stud., 1987

Conceptual Schema Design: A Machine Learning Approach.

[BibT_eX]

Ramin Yasdi

Proceedings of the Methodologies for Intelligent Systems, 1987

1986

A Concept-Learning Information Retrieval System - Basic Ideas.

[BibT_eX]

[DOI]

SIGIR Forum, 1986

A Unified Approach for Artificial Intelligence and Information Retrieval.

[BibT_eX]

[DOI]

SIGIR Forum, 1986

Comparison of Rough-Set and Statistical Methods in Inductive Learning.

[BibT_eX]

[DOI]

R. Li Ye

Int. J. Man Mach. Stud., 1986

On Extending the Vector Space Model for Boolean Query Processing.

[BibT_eX]

[DOI]

Proceedings of the SIGIR'86, 1986

A Machine Learning Approach to Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR'86, 1986

On learning and evaluation of decision rules in the context of rough sets.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, 1986

Algebraic versus probabilistic independence in decision theory.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGART International Symposium on Methodologies for Intelligent Systems, 1986

1985

Generalized Vector Space Model in Information Retrieval.

[BibT_eX]

[DOI]

P. C. N. Wong

Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval, 1985

Allocation of Documents in Two Level Memory for Information Retrieval Systems.

[BibT_eX]