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KDD-2000 Sixth ACM SIGKDD International Conference on Among Those Dark Electronic Mills:� Privacy and Data Mining Jason Catlett President and Founder, Junkbusters Corporation Abstract: The concept of
privacy encompasses various claims by individuals over whether information
about them is communicated to others.�
Data mining allows discovery of personal data that was previously
unknown, possibly even to the individuals concerned.� For example, one aim of collaborative
filtering is to recommend to people books that they would enjoy but have not
read or even heard of.� How can the
concept of privacy be extended to whether such information is even created?
Is there a need to extend the principles of fair information practice, which
form the framework for the data protection laws prevailing in most developed
countries? What should practitioners consider when designing and implementing
data mining projects? Will this technology lead to the promised land of
personal empowerment and prosperity or an post-Orwellian dystopia of
mass-customized cognitive ghettos? Or just more junk mail? Biography: Jason Catlett is
President and founder of Junkbusters Corp, a leading resource on the control
of telemarketing calls, unwanted mail, spam, and commercial invasions of
privacy. Described by the Associated Press as a nationally known privacy
advocate, Catlett is frequently quoted in the media as a critic of intrusive
marketing practices. Catlett's Ph.D. from the University of Sydney explored
the induction of decision trees on very large data sets (or at least very
large for 1989). He continued this research agenda at AT&T Bell Labs from
1992 to 1996. He is a member of the editorial board of the Machine Learning
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