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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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Ma, Zongmin (Editor), Yan, Li (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Fuzziness and Soft Computing, 304
Subjects:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Application software.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computer and Information Systems Applications.
Online Access:Texto Completo
Table of Contents:
  • 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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