Advances in Probabilistic Databases for Uncertain Information Management
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...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Serier: | Studies in Fuzziness and Soft Computing
304 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Probabilistic Databases for Uncertain Information Management, Texte imprimé, 9783642375088 |
Indholdsfortegnelse:
- 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.