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Advances in Probabilistic Databases for Uncertain Information Management: Studies in Fuzziness and Soft Computing, cartea 304

Editat de Zongmin Ma, Li Yan
en Limba Engleză Hardback – 20 apr 2013
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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Specificații

ISBN-13: 9783642375088
ISBN-10: 3642375081
Pagini: 172
Ilustrații: VIII, 161 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.42 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.  

Textul de pe ultima copertă

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.

Caracteristici

Covers a fast-growing topic in great depth Focuses on the technologies and applications of the probabilistic databases for uncertain data management State-of-the-art book