Advances in Probabilistic Databases for Uncertain Information Management
By: edited by Zongmin Ma, Li Yan
Contributors: Yan, Li; SpringerLink (Online service)
Series: Studies in Fuzziness and Soft Computing -- 304
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 161
ISBN-13: 9783642375095
Subjects: Appl.Mathematics/Computational Methods of Engineering; Engineering; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); Engineering mathematics; Artificial intelligence
Description: 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.