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Fuzzy Database Modeling with XML (Advances in Database Systems)
 
 
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Fuzzy Database Modeling with XML (Advances in Database Systems) [Hardcover]

Zongmin Ma (Author)

Price: $134.00 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

February 10, 2005 0387242481 978-0387242484 1

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. Secondly, 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.


Editorial Reviews

Review

From the reviews of the first edition:

"This book overviews and contributes to the field of fuzzy databases. … The structure of the book is well-thought out. … I do believe it can help advanced readers to improve their knowledge of the state of the art in fuzzy databases." (Martine De Cock, Zentralblatt MATH, Vol. 1087, 2006)

From the Back Cover

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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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fuzzy nested relational databases, leaf element nodes, corresponding virtual attribute, fuzzy multidatabases, original component relation, membership degree conflicts, fuzzy data compression, fuzzy relational operations, fuzzy subclass, semantic equivalence degree, semantic inclusion degree, attribute value conflicts, nested relational database model, crisp attribute value, fuzzy relational databases, element content description, fuzzy relational database model, membership degree attribute, attribute name conflicts, fuzzy attribute values, data type conflicts, logical database models, fuzzy join, fuzzy functional dependencies, binary set operation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Val Poss, International Conference, Computer Science, Data Engineering, International Journal of Intelligent Systems, Dept Age, Information Sciences, New Car, Old Car, Kluwer Academic Publisher, John Smith, Unified Modeling Language, Young Faculty, Tom Smith, Young Employee, Information Processing Letters, Very Large Data Bases, Yong Students, Date of Birth, Drive License, Fuzzy Attribute Value Conversion, Idea Group Publishing, Phil France
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