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Author Babad, Yair M. ♦ Hoffer, Jeffrey A.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword Erroneous data ♦ Missing data ♦ Ambiguous data
Abstract Data that are missing, lost, or incomplete can be very significant in certain situations. Programs and languages need to be able to identify and manage such data effectively.
Description Affiliation: Indiana Univ., Bloomington (Hoffer, Jeffrey A.) || Univ. of Illinois, Chicago (Babad, Yair M.)
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 27
Issue Number 8
Page Count 9
Starting Page 748
Ending Page 756

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Source: ACM Digital Library