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...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Ma, Zongmin (Éditeur intellectuel), Yan, Li (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Collection:Studies in Fuzziness and Soft Computing, 304
Sujets:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Application software.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computer and Information Systems Applications.
Accès en ligne:Texto Completo
Table des matières:
  • 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.  .

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