Advances in Probabilistic Databases for Uncertain Information Management

Advances in Probabilistic Databases for Uncertain Information Management edited by Zongmin Ma, Li Yan.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ma, Zongmin (Editor), Yan, Li (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Fuzziness and Soft Computing, 304
Springer eBook Collection.
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Application software.
Electronic resources (E-books)
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