Advances in Probabilistic Databases for Uncertain Information Management
Download or Read eBook Advances in Probabilistic Databases for Uncertain Information Management PDF written by Zongmin Ma and published by Springer. This book was released on 2013-03-30 with total page 167 pages. Available in PDF, EPUB and Kindle.
Author | : Zongmin Ma |
Publisher | : Springer |
Total Pages | : 167 |
Release | : 2013-03-30 |
ISBN-10 | : 9783642375095 |
ISBN-13 | : 364237509X |
Rating | : 4/5 (95 Downloads) |
Book Synopsis Advances in Probabilistic Databases for Uncertain Information Management by : Zongmin Ma
Book excerpt: 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.