RSKD 1993:
Banff,
Canada
Wojciech Ziarko (Ed.):
Rough Sets, Fuzzy Sets and Knowledge Discovery, Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), Banff, Alberta, Canada, 12-15 October 1993.
Workshops in Computing Springer 1994, ISBN 3-540-19885-7 
@proceedings{DBLP:conf/rsctc/1993,
editor = {Wojciech Ziarko},
title = {Rough Sets, Fuzzy Sets and Knowledge Discovery, Proceedings of
the International Workshop on Rough Sets and Knowledge Discovery
(RSKD'93), Banff, Alberta, Canada, 12-15 October 1993},
booktitle = {RSKD},
publisher = {Springer},
series = {Workshops in Computing},
year = {1994},
isbn = {3-540-19885-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Gregory Piatetsky-Shapiro:
An Overview of Knowledge Discovery in Database: Recent Progress and Challenges.
1-10
- Wojciech Ziarko:
Rough Sets and Knowledge Discovery: An Overview.
11-15
- Rokia Missaoui, Robert Godin:
Search for Concepts and Dependencies in Databases.
16-23
- G. Deon Oosthuizen:
Rough Sets and Concept Lattices.
24-31
- Nick Cercone, Paul McFetridge, Jiawei Han, Fred Popowich:
Human-Computer Interfaces: DBLEARN and System X.
32-43
- David R. Fudger, Howard J. Hamilton:
A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN.
44-51
- Walter A. Sedelow Jr., Sally Yeates Sedelow:
Knowledge Recognition, Rough Sets, and Formal Concept Lattices.
52-61
- Yang Xiang, S. K. Michael Wong, Nick Cercone:
Quantifying Uncertainty of Knowledge Discovered From Databases.
63-73
- Robert Golan, Donald Edwards:
Temporal Rules Discovery Using Datalogic/R+ with Stock Market Data.
74-81
- Vijay V. Raghavan, Hayri Sever, Jitender S. Deogun:
A System Architecture for Database Mining Applications.
82-89
- Xiaohua Hu, Nick Cercone, Jiawei Han:
An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases.
90-99
- Theresa Beaubouef, Frederick E. Petry:
A Rough Set Model for Relational Databases.
100-107
- Andrzej Skowron:
Data Filtration: A Rough Set Approach.
108-118
- Jan M. Zytkow:
Automated Discovery of Empirical Laws in a Science Laboratory.
119-129
- Zdzislaw Pawlak:
Hard and Soft Sets.
130-135
- Roman Slowinski:
Rough Set Analysis of Multi-Classical Logics.
136-142
- Ewa Orlowska:
Rough Set Semantics for Non-classical Logics.
143-148
- Jacek Pomykala, Erik de Haas:
A Note on Categories of Information Systems.
149-156
- Marek Chuchro:
On Rough Sets in Topological Boolean Algebras.
157-160
- Andrzej Skowron, Jaroslaw Stepaniuk:
Approximation of Relations.
161-166
- Jack David Katzberg, Wojciech Ziarko:
Variable Precision Rough Sets with Asymmetric Bounds.
167-177
- Y. Y. Yao, Xining Li:
Uncertain Reasoning with Interval-Set Algebra.
178-185
- Akira Nakamura:
On a Logic of Information for Reasoning About Knowledge.
186-195
- Mohua Banerjee, Mihir K. Chakraborty:
Rough Consequence and Rough Algebra.
196-207
- Edward Bryniarski:
Formal Description of Rough Sets.
208-216
- S. K. Michael Wong, Xiaopin Nie:
Rough Sets: A Special Case of Interval Structures.
217-226
- Piero Pagliani:
A Pure Logic-Algebraic Analysis of Rough Top and Rough Bottom Equalities.
227-236
- Piotr Sapiecha:
A Novel Approach to the Minimal Cover Problem.
237-241
- Zbigniew Bonikowski:
Algebraic Structures of Rough Sets.
242-247
- Robert E. Kent:
Rough Concept Analysis.
248-255
- Tsau Young Lin, Qing Liu:
Rough Approximate Operators: Axiomatic Rough Set Theory.
256-260
- Marzena Kryszkiewicz, Henryk Rybinski:
Finding Reducts in Composed Information Systems.
261-273
- Shusaku Tsumoto, Hiroshi Tanaka:
PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory.
274-281
- Dobroslawa M. Grzymala-Busse, Jerzy W. Grzymala-Busse:
Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets.
282-289
- Shusaku Tsumoto, Hiroshi Tanaka:
AQ, Rough Sets, and Matroid Theory.
290-297
- Andrzej Lenarcik, Zdzislaw Piasta:
Rough Classifiers.
298-316
- Jerzy Stefanowski, Daniel Vanderpooten:
A General Two-Stage Approach to Inducing Rules from Examples.
317-325
- Ning Shan, Wojciech Ziarko:
An Incremental Learning Algorithm for Constructing Decision Rules.
326-334
- Mikhail Moshkov:
Decision Trees for Decision Tables.
335-342
- Tsau Young Lin:
Fuzzy Reasoning and Rough Sets.
343-348
- Michael Hadjimichael, S. K. Michael Wong:
Ruzzy Representations in Rough Set Approximations.
349-356
- Hasan M. Jamil, Fereidoon Sadri:
Trusting an Information Agent.
357-365
- Roman Slowinski, Jerzy Stefanowski:
Handling Various Types of Uncertainty in the Rough Set Approach.
366-376
- Zbigniew M. Wójcik:
Intelligent Image Filtering Using Rough Sets.
377-386
- Andrzej Czyzewski, Andrzej Kaczmarek:
Multilayer Knowledge Base System for Speaker-Independent Recognition of Isolated Words.
387-394
- Simon Shek Yuen Lau:
Image Segmentation Based on the Indiscernibility Relation.
395-402
- Zbigniew M. Wójcik:
Accurate Edge Detection Using Rough Sets.
403-411
- Grace I. Paterson:
Rough Classification of Pneumonia Patients Using a Clinical Database.
412-419
- Krzysztof Slowinski, El Sanossy Sharif:
Rough Sets Approach to Analysis of Data of Diagnostic Peritoneal Lavage Applied for Multiple Injuries Patients.
420-425
- Jacek Jelonek, Krzysztof Krawiec, Roman Slowinski, Jerzy Stefanowski, Janusz Szymas:
Neural Networks and Rough Sets - Comparison and Combination for Classification of Histological Pictures.
426-433
- Mieczyslaw Muraszkiewicz, Henryk Rybinski:
Towards a Parallel Rough Sets Computer.
434-443
- Tomasz Arciszewski, Wojciech Ziarko, Tariq L. Khan:
Learning Conceptual Design Rules: A Rough Sets Approach.
444-449
- Bozena Kostek:
Intelligent Control System Implementation to the Pipe Organ Instrument.
450-457
- Tadeusz Luba, Robert Lasocki, Janusz Rybnik:
An Implementation of Decomposition Algorithm and its Application in Information System Analysis and Logic Synthesis.
458-465
- Jerzy W. Grzymala-Busse:
ESEP: An Expert System for Environmental Protection.
466-473
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