Ebook: Advances in Probabilistic Databases for Uncertain Information Management
- Tags: Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Information Systems Applications (incl. Internet)
- Series: Studies in Fuzziness and Soft Computing 304
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages 1-7
Research in Probabilistic Spatiotemporal Databases: The SPOT Framework....Pages 1-22
A Probabilistic Object-Oriented Database Model with Fuzzy Measures....Pages 23-38
Probabilistic XML: Models and Complexity....Pages 39-66
Uncertain Data: Representations, Query Processing, and Applications....Pages 67-108
A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams....Pages 109-129
Tractable Probabilistic Description Logic Programs....Pages 131-159
Back Matter....Pages 161-161
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.
Content:
Front Matter....Pages 1-7
Research in Probabilistic Spatiotemporal Databases: The SPOT Framework....Pages 1-22
A Probabilistic Object-Oriented Database Model with Fuzzy Measures....Pages 23-38
Probabilistic XML: Models and Complexity....Pages 39-66
Uncertain Data: Representations, Query Processing, and Applications....Pages 67-108
A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams....Pages 109-129
Tractable Probabilistic Description Logic Programs....Pages 131-159
Back Matter....Pages 161-161
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