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Query answering techniques on uncertain and probabilistic data: tutorial summary
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International Conference on Management of Data archive
Proceedings of the 2008 ACM SIGMOD international conference on Management of data table of contents
Vancouver, Canada
TUTORIAL SESSION: Tutorials table of contents
Pages 1357-1364  
Year of Publication: 2008
ISBN:978-1-60558-102-6
Authors
Jian Pei  Simon Fraser University, Burnaby, BC, Canada
Ming Hua  Simon Fraser University, Burnaby, BC, Canada
Yufei Tao  Chinese University of Hong Kong, Hong Kong, China
Xuemin Lin  The University of New South Wales, Sydney, Australia
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and the rapidly increasing amount of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task and has attracted more and more interest from the database community. Recently, uncertain data management has become an emerging hot area in database research and development. In this tutorial, we systematically review some representative studies on answering various queries on uncertain and probabilistic data.


REFERENCES

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Collaborative Colleagues:
Jian Pei: colleagues
Ming Hua: colleagues
Yufei Tao: colleagues
Xuemin Lin: colleagues