7. RSFDGrC 1999:
Yamaguchi, Japan
Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (Eds.):
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC '99, Yamaguchi, Japan, November 9-11, 1999, Proceedings.
Lecture Notes in Computer Science 1711 Springer 1999, ISBN 3-540-66645-1
Invited Talks
Rough Computing:
Foundations and Applications
Rough Set Theory and its Applications
- Lech Polkowski:
Toward Spatial Reasoning in the Framework of Rough Mereology.
55-63

- Hiroshi Sakai, Akimichi Okuma:
An Algorithm for Finding Equivalence Relations from Tables with Non-Deterministic Information.
64-72

- Jerzy Stefanowski, Alexis Tsoukiàs:
On the Extension of Rough Sets under Incomplete Information.
73-81

- Y. Y. Yao, Tao Wang:
On the Rough Realations: An Alternative Formulation.
82-90

- Jamil Saquer, Jitender S. Deogun:
Formal Rough Concept Analysis.
91-99

- Rafal Królikowski, Andrzej Czyzewski:
Noise Reduction in Telecommunication Channels using Rough Sets and Neural Networks.
100-108

- Andrzej Czyzewski, Henryk Skazynski, Bozena Kostek, Rafal Królikowski:
Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients.
109-117

- Alexios Chouchoulas, Qiang Shen:
A Rough Set-Based Approach to Text Classification.
118-127

- Pabitra Mitra, Sushmita Mitra, Sankar K. Pal:
Modular Rough Fuzzy MLP: Evolutionary Design.
128-136

- Hung Son Nguyen, Dominik Slezak:
Approximate Reducts and Association Rules - Correspondence and Complexity Results.
137-145

- Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
Handling Missing Values in Rough Set Analysis of Multi-Attribute and Multi-Criteria Decision Problems.
146-157

- Arul Siromoney, Katsushi Inoue:
The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings.
158-167

- Chunnian Liu, Ning Zhong:
Rough Problem Settings for Inductive Logic Programming.
168-177

- Juzhen Dong, Ning Zhong, Setsuo Ohsuga:
Using Rough Sets with Heuristics for Feature Selection.
178-187

- Lixin Sun, Wen Gao:
The Discretization of Continuous Attributes Based on Compatibility Rough Set and Generic Algorithm.
188-192

Fuzzy Set Theory and its Applications
- Masahiro Inuiguchi, Tetsuzo Tanino:
Level Cut Conditioning Approach to the Necessity Measure Specification.
193-202

- Sadaaki Miyamoto, Kazutaka Umayahara, T. Nemoto:
Four c-Regression Methods and Classification Functions.
203-211

- Shusaku Tsumoto, Tsau Young Lin:
Context-Free Fuzzy Sets in Data Mining Context.
212-220

- Mark Last, Adam Schenker, Abraham Kandel:
Applying Fuzzy Hypothesis Testing to Medical Data.
221-229

- Raouf Veliev, Alex Rubinov, Andrew Stranieri:
Generating a Macroeconomic Fuzzy Forecasting System using Evolutionary Search.
230-238

- Hugang Han, Hiroko Kawabata:
Fuzzy Control of Nonlinear Systems using Nonlinearized Parameterization.
239-247

- Keigo Watanabe, Lanka Udawatta, Kazuo Kiguchi, Kiyotaka Izumi:
Control of Chaotic Systems using Fuzzy Model-Based Regulators.
248-256

- Palitha Dassanayake, Keigo Watanabe, Kiyotaka Izumi:
Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-Link Manipulators.
257-265

- Nihan Çetin, Cengiz Kahraman:
Fuzzy Future Value and Annual Cash Flow Analyses.
266-270

- Said Melliani:
Semi Linear Equation with Fuzzy Parameters.
271-275

Non-Classical Logic and Approximate Reasoning
Information Granulation and Granular Computing
Data Mining and Knowledge Discovery
- Jan M. Zytkow:
Knowledge-Driven Discovery of Operational Definitions.
395-404

- Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse, Linda K. Goodwin:
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data.
405-413

- Einoshin Suzuki, Hiroki Ishihara:
Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density.
414-422

- Xiaoyong Du, Sachiko Suzuki, Naohiro Ishii:
A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes.
423-432

- Chao-Wen Kevin Chen, David Y. Y. Yun:
Knowledge Discovery for Protein Tertiary Substructures.
433-442

- Keyun Hu, Yuchang Lu, Lizhu Zhou, Chunyi Shi:
Integrating Classification and Association Rule Mining: A Concept Lattice Framework.
443-447

- Hoang Kiem, Do Phuc:
Using Rough Genetic and Kohonen's Neural Network for Conceptual Cluster Discovery in Data Mining.
448-452

- Yi-Chuan Lu, Hilary Cheng:
Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse.
453-457

- Carlos Lopes, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco, Emmanuel L. P. Passos:
Rule-Evolver: An Evolutionary Approach for Data Mining.
458-462

Machine Learning
Intelligent Agents and Systems
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