Ranking Queries on Uncertain Data

• Main Authors: Hua, Ming (Author), Pei, Jian (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2011.
• Edition: 1.
• Series: Advances in Database Systems, 42
• Subjects: Computer science.; Computers.; Database management.; Data mining.; Computer Science.; Database Management.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Information Systems and Communication Service.

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of...

Table of Contents:

• Introduction
• Probabilistic Ranking Queries on Uncertain Data
• Related Work
• Top-k Typicality Queries on Uncertain Data
• Probabilistic Ranking Queries on Uncertain Data
• Continuous Ranking Queries on Uncertain Streams
• Ranking Queries on Probabilistic Linkages
• Probabilistic Path Queries on Road Networks
• Conclusions
• References.