Advances in Probabilistic Databases for Uncertain Information Management

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ma, Zongmin (Επιμελητής έκδοσης), Yan, Li (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Fuzziness and Soft Computing, 304
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).

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...

Πίνακας περιεχομένων:

• 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.  .