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
The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzz...
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| Format: | eBook |
| Language: | English |
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London
Springer London
1994, 1994
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| Edition: | 1st ed. 1994 |
| Series: | Workshops in Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- A Special Case of Interval Structures
- A Pure Logic-Algebraic Analysis of Rough Top and Rough Bottom Equalities
- A Novel Approach to the Minimal Cover Problem
- Algebraic Structures of Rough Sets
- Rough Concept Analysis
- Rough Approximate Operators: Axiomatic Rough Set Theory
- Finding Reducts in Composed Information Systems
- PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory
- Comparison of Machine Learning and Knowledge Acquisition Methods of Rule Induction Based on Rough Sets
- AQ, Rough Sets, and Matroid Theory
- Rough Classifiers
- A Rough Sets Approach
- Recent Progress and Challenges
- Rough Sets and Knowledge Discovery: An Overview
- Search for Concepts and Dependencies in Databases
- Rough Sets and Concept Lattices
- Human-Computer Interfaces: DBLEARN and SystemX
- A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN
- Knowledge Recognition, Rough Sets, and Formal Concept Lattices
- Quantifying Uncertainty of Knowledge Discovered from Databases
- Temporal Rules Discovery Using Datalogic/R+ with Stock Market Data
- A System Architecture for Database Mining Applications
- An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases
- A Rough Set Model for Relational Databases
- Data Filtration: A Rough Set Approach
- Automated Discovery of Empirical Laws in a Science Laboratory
- Hard and Soft Sets
- Rough Set Analysis of Multi-Attribute Decision Problems
- Rough Set Semantics for Non-Classical Logics
- An Expert System for Environmental Protection
- Author Index