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Achieving Anonymity via Clustering

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Issue:

Technology

 

Written by:

Alpha P

 

Date added:

February 25, 2016

 

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Grade:

A

 

No of pages / words:

3 / 621

 

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3725 times

 

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Dept. University of Maryland College Park, MD 20742 samir@cs.umd.edu Rina Panigrahy2,4 Comp. Sc. Dept. Stanford University Stanford, CA 94305 rinap@cs.stanford.edu Dilys Thomas2 Comp. Sc. Dept. Stanford University Stanford, CA 94305 dilys@cs.stanford.edu An Zhu1 Google Inc. Mountain View, CA 94043 anzhu@cs...
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The traditional approach of de-identifying records is to remove identifying fields such as social security number, name etc. However, recent research has shown that a large fraction of the US population can be identified using non-key attributes (called quasi-identifiers) such as date of birth, gender, and zip code [15]...
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General issues of this essay:
Census Records CENTRALIZATION OF TIME AND ATTENDANCE RECORDS THROUGH ELECTRONIC TRANSFER How To Keep Records Of Employment Stock Records Accuracy records of the grand historian Adoption Records Medical records Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases. Records Management Using Running Records to Provide for Differentiated Instruction Records of the Grand Historian Computer Confidentiality For Medical Records school records Accuracy of Data, Data Ouytput Achieving Anonymity via Clustering
 

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