| Query answering techniques on uncertain and probabilistic data: tutorial summary |
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International Conference on Management of Data
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Proceedings of the 2008 ACM SIGMOD international conference on Management of data
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Vancouver, Canada
TUTORIAL SESSION: Tutorials
table of contents
Pages 1357-1364
Year of Publication: 2008
ISBN:978-1-60558-102-6
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Authors
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Jian Pei
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Simon Fraser University, Burnaby, BC, Canada
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Ming Hua
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Simon Fraser University, Burnaby, BC, Canada
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Yufei Tao
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Chinese University of Hong Kong, Hong Kong, China
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Xuemin Lin
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The University of New South Wales, Sydney, Australia
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Downloads (6 Weeks): 55, Downloads (12 Months): 311, Citation Count: 1
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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
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/1183614.1183719]
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CITED BY
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Goce Trajcevski , Roberto Tamassia , Hui Ding , Peter Scheuermann , Isabel F. Cruz, Continuous probabilistic nearest-neighbor queries for uncertain trajectories, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, March 24-26, 2009, Saint Petersburg, Russia
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