Advances in Probabilistic Databases for Uncertain Information Management -

Advances in Probabilistic Databases for Uncertain Information Management

Zongmin Ma, Li Yan (Herausgeber)

Buch | Softcover
VIII, 161 Seiten
2015 | 2013
Springer Berlin (Verlag)
978-3-642-44403-6 (ISBN)
119,99 inkl. MwSt
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.

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.

Erscheint lt. Verlag 20.5.2015
Reihe/Serie Studies in Fuzziness and Soft Computing
Zusatzinfo VIII, 161 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 272 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Schlagworte artificial intelligence (incl. robotics) • Engineering • information systems applications (incl. internet) • Probabilistic Databases • Soft Computing • Web Intelligence • XML
ISBN-10 3-642-44403-2 / 3642444032
ISBN-13 978-3-642-44403-6 / 9783642444036
Zustand Neuware
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