Advances in Probabilistic Databases for Uncertain Information Management
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Author
Contributions
- Yan, Li - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Imprint: Springer, Berlin, Heidelberg, Germany
Language
English
Word Count
40,250 words, Guess
Page Count
161 pages
Physical Format
Electronic resource
Identifiers
- Open LibraryOL27015235M
- ISBN-139783642375095
Classifications
- DDC519
- LCCTA329-348
- LCCTA640-643
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.
Subjects
Series Statement
- Studies in Fuzziness and Soft Computing -- 304
Other Editions
- Advances in Probabilistic Databases for Uncertain Information Management
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