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CU-led consortium will test new confidential methods to mine census data
dc.contributor.author | Steele, Bill | |
dc.date.accessioned | 2017-10-20T13:04:11Z | |
dc.date.available | 2017-10-20T13:04:11Z | |
dc.date.issued | 2004-10-07 | |
dc.identifier.uri | https://hdl.handle.net/1813/53351 | |
dc.description.abstract | With modern computing power, data from the U.S. Census Bureau, the Internal Revenue Service, law enforcement agencies and other branches of government can be combined to answer important public policy questions. The trick is to do this without violating people's privacy. | |
dc.language.iso | en_US | |
dc.publisher | Cornell Chronicle | |
dc.subject | Census | |
dc.subject | NSF | |
dc.title | CU-led consortium will test new confidential methods to mine census data | |
dc.type | article |