Advances in Probabilistic Databases for Uncertain Information Management
Author:   Zongmin Ma ,  Li Yan
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2013 ed.
Volume:   304
ISBN:  

9783642444036


Pages:   161
Publication Date:   20 May 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Probabilistic Databases for Uncertain Information Management


Overview

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.

Full Product Details

Author:   Zongmin Ma ,  Li Yan
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2013 ed.
Volume:   304
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   2.701kg
ISBN:  

9783642444036


ISBN 10:   3642444032
Pages:   161
Publication Date:   20 May 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1   Research in Probabilistic Spatiotemporal Databases: The SPOT Framework.- 2   A Probabilistic Object-Oriented Database Model with Fuzzy Measures.- 3   Probabilistic XML: Models and Complexity.- 4   Uncertain Data: Representations, Query Processing, and Applications.- 5   A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams.- 6   Tractable Probabilistic Description Logic Programs.  

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