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Web mining and privacy: foes or friends?
If you have a question about this talk, please contact Andrew Rice.
Web mining (i.e., data mining applied to Web content, link, or usage data) is often regarded as a premier foe of privacy, and techniques for “privacy-preserving data mining” are seen as remedies. In this talk, I want to challenge this view by investigating different notions of privacy and different forms and stages of Web mining. As part of this, I will highlight the importance of different perspectives and present tools we developed for analysing data in this way.
This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.
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Other listsMillennium Mathematics Project (http://maths.org) DAMTP BioLunch BHRU Annual Lecture 2017
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