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Fuzzy Database Modeling with XML [electronic resource] / by Zongmin Ma.

By: Contributor(s): Material type: TextTextSeries: Advances in Database Systems ; 29Publisher: Boston, MA : Springer US, 2005Description: XXIV, 216 p. 74 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780387242491
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.D3
Online resources:
Contents:
Background Information -- Conceptual Data Modeling -- Logical Database Models -- Fuzzy Sets and Possibility Distributions -- Fuzzy Conceptual Data Modeling -- The Fuzzy Er and Fuzzy Eer Models -- The Fuzzy UML Data Model -- The Fuzzy XML Model -- Fuzzy Database Models -- The Fuzzy Relational Databases -- The Fuzzy Nested Relational Databases -- The Fuzzy Object-Oriented Databases -- Conceptual Design of Fuzzy Databases.
In: Springer eBooksSummary: Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state of the art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches. The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Second, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred. Fuzzy Database Modeling with XML is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
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Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-37485

Background Information -- Conceptual Data Modeling -- Logical Database Models -- Fuzzy Sets and Possibility Distributions -- Fuzzy Conceptual Data Modeling -- The Fuzzy Er and Fuzzy Eer Models -- The Fuzzy UML Data Model -- The Fuzzy XML Model -- Fuzzy Database Models -- The Fuzzy Relational Databases -- The Fuzzy Nested Relational Databases -- The Fuzzy Object-Oriented Databases -- Conceptual Design of Fuzzy Databases.

Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state of the art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches. The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Second, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred. Fuzzy Database Modeling with XML is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.

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