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Knowledge Management in Fuzzy Databases : Studies in Fuzziness and Soft Computing - Olga Pons

Knowledge Management in Fuzzy Databases

Studies in Fuzziness and Soft Computing

By: Olga Pons (Editor), Maria Amparo Vila (Editor), Janusz Kacprzyk (Editor)

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Published: 17th November 1999
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1. When I was asked by the editors of this book to write a foreword, I was seized by panic. Obviously, neither I am an expert in Knowledge Representation in Fuzzy Databases nor I could have been beforehand unaware that the book's contributors would be some of the most outstanding researchers in the field. However, Amparo Vila's gentle insistence gradually broke down my initial resistance, and panic then gave way to worry. Which paving stones did I have at my disposal for making an entrance to the book? After thinking about it for some time, I concluded that it would be pretentious on my part to focus on the subjects which are dealt with directly in the contributions presented, and that it would instead be better to confine myself to making some general reflections on knowledge representation given by imprecise information using fuzzy sets; reflections which have been suggested to me by some words in the following articles such as: graded notions, fuzzy objects, uncertainty, fuzzy implications, fuzzy inference, empty intersection, etc.

Foreword
Fuzziness in Databases: Basic Aspects
Fuzzy Data Modeling at a Conceptual Level: Extending ER/EER Conceptsp. 3
Conceptual Modeling for the Design of Fuzzy Object Oriented Databasesp. 12
On Inference Rules of Dependencies in Fuzzy Relational Data Models: Functional Dependenciesp. 36
Time Management in Fuzzy and Uncertain Object-Oriented Databasesp. 67
Fuzzy Approach to Data Reliabilityp. 89
Fuzziness in Databases: Operational Aspects
Extended Divisions for Flexible Queries in Relational Databasesp. 105
Fuzzy Functional Dependency as a Sort of Semantic Knowledge: Representation, Preservation and Usep. 122
A Combinatorial Characterization of Fuzzy Functional Dependenciesp. 134
Formulation of Division Operators in Fuzzy Relational Databasesp. 143
Data Mining and Knowledge Discovery Via Querying, Retrieval and Summarization
Intelligent Query Answering in DAKSp. 159
SQLf Query Functionality on Top of a Regular Relational Database Management Systemp. 171
How to Obtain the Fulfilment Degrees of a Query Using Fuzzy Relational Calculusp. 191
Data Mining via Fuzzy Querying over the Internetp. 211
Extended Boolean Information Retrieval in Terms of Fuzzy Inclusionp. 234
An Integrated Approach to Information Retrieval with Fuzzy Clustering and Fuzzy Inferencingp. 247
Retrieval from multimedia Databases Using Fuzzy Temporal Conceptsp. 261
Fuzzy Prototypes for Fuzzy Data Miningp. 275
Creating Business Knowledge by Fuzzy Data Miningp. 287
Using Rough Sets and Evidence Theory for Handling Uncertainty in Data Mining
Towards the Handling of Uncertainty in Knowledge Discovery in Databasesp. 305
Reducing Information Systems with Uncertain Real Value Attributesp. 334
Enhancing Query Processing in Extended Relational Database Systems via Rough Set Theory to Exploit Data Mining Potentialp. 349
Integrating RDMS and Data Mining Capabilities Using Rough Setsp. 371
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783790812558
ISBN-10: 3790812552
Series: Studies in Fuzziness and Soft Computing
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 386
Published: 17th November 1999
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.24  x 1.91
Weight (kg): 0.64