Knowledge Management in Fuzzy Databases

By: Olga Pons (Editor), Maria A. Vila (Editor)

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Hardcover | 17 November 1999

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404 Pages

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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.

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Published: 21st October 2010

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

Knowledge Management in Fuzzy Databases

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