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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ma, Zongmin (Editor ), Yan, Li (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Fuzziness and Soft Computing, 304
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Application software.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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