Fuzzy And Uncertain Object Oriented Databases


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Fuzzy And Uncertain Object-oriented Databases: Concepts And Models


Fuzzy And Uncertain Object-oriented Databases: Concepts And Models

Author: Rita De Caluwe

language: en

Publisher: World Scientific

Release Date: 1997-10-22


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Enriching database models so as to allow the user to deal with fuzzy and uncertain information has been of scientists' concern for years. This resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. The experience was instructive, although still far from concrete applications.The time has come that the advantages of object-oriented databases are acknowledged outside the research and academic worlds and a breakthrough of new commercial softwares is observed. Lately research has been devoted to the endowment of this type of databases with more real-world reflecting semantics. It proved that the object-oriented paradigm lends itself extremely well to it. This is very promising and opens new perspectives for the availability of new-generation database products in the near future.The book presents the latest research results in dealing with fuzziness and uncertainty in object-oriented databases.

Fuzzy and Uncertain Object-oriented Databases


Fuzzy and Uncertain Object-oriented Databases

Author: Rita de Caluwe

language: en

Publisher: World Scientific

Release Date: 1997


DOWNLOAD





Enriching database models to allow the user to deal with fuzzy and uncertain information has been of scientists' concern for years. This book presents the latest research results in dealing with fuzziness and uncertainty in object-oriented databases. The readership will be researchers and engineers interested in databases and software engineering programming.

Advances in Probabilistic Databases for Uncertain Information Management


Advances in Probabilistic Databases for Uncertain Information Management

Author: Zongmin Ma

language: en

Publisher: Springer

Release Date: 2013-03-30


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This book covers a fast-growing topic in great depth and focuses on the technologies and applications of probabilistic data management. It aims to provide a single account of current studies in probabilistic data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of information technology of intelligent information processing, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.


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