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Activity Number: 200
Type: Roundtables
Date/Time: Monday, August 4, 2014 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract #311176
Title: Snowden, Google, and Text Networks
Author(s): David Banks*+
Companies: Duke University
Keywords: NSA ; data mining ; big data ; privacy ; text mining ; network models
Abstract:

The recent revelations about NSA surveillance of phone and email data and metadata have revived long-standing concerns by privacy advocates. The purpose of this roundtable discussion is to specify the data mining tools available to federal security agencies and technology companies and to scope out their capabilities, limitations, and likely uses. No doubt, privacy issues will arise, but the intent is mostly amoral, focusing on methodology more than the legal and social implications. In particular, we shall discuss the analysis of networks of textual documents.


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