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Author Dalvi, Nilesh ♦ Ré, Christopher ♦ Suciu, Dan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Treasures abound from hidden facts found in imprecise data sets.
Description Affiliation: University of Washington, Seattle, WA (Ré, Christopher; Suciu, Dan) || Yahoo! Research, Santa Clara, CA (Dalvi, Nilesh)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 52
Issue Number 7
Page Count 9
Starting Page 86
Ending Page 94

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Source: ACM Digital Library