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Patrick Vacek 21 April 2008 MATH 3210. Social and Privacy Issues of Data Mining. Overview. The Inference Problem Privacy Commercial and Government Uses Concerns The Future. The Inference Problem. Deducing unauthorized information from legitimate query responses

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Patrick vacek 21 april 2008 math 3210

Patrick Vacek

21 April 2008

MATH 3210

Social and Privacy Issues of Data Mining


Overview
Overview

  • The Inference Problem

  • Privacy

  • Commercial and Government Uses

  • Concerns

  • The Future


The inference problem
The Inference Problem

  • Deducing unauthorized information from legitimate query responses

  • The influence of data mining

    • Easier to gather information

    • Easier to block gathering

Source: Thurasisingham 196-201


Privacy issues
Privacy Issues

  • World Wide Web

  • Sensitive information

  • Security

    • Encryption

    • Split databases

Sources: Thurasisingham 202-203; Han and Kamber 478


Commercial uses
Commercial Uses

  • Market basket analysis

  • Billing information

  • Amazon.com

Source: Streitfeld


Government uses
Government Uses

  • Terrorism prevention

    • Total Information Awareness

    • Commercial cooperation

    • Problems

      • Data quality and quantity

      • Interpretation

      • False positives

      • The Fourth Amendment

      • Mission creep

Sources: Pitts; Zobrist


Concerns for data mining
Concerns for Data Mining

  • Could become a derogatory term

  • Consumer weariness and confidence

  • "Big Brother"

Source: Yang and Wu


The future
The Future

  • Fair information practices

    • Openness

    • Limited use

  • Opt-out

  • Enhanced security

Source: Han and Kamber 477-478


Summary
Summary

  • The Inference Problem

  • Privacy

  • Commercial and Government Uses

  • Concerns

  • The Future


References
References

  • "Affinity analysis". 15 February 2008. Wikipedia, The Free Encyclopedia. Retrieved 12 April 2008, from http://en.wikipedia.org/w/index.php?title=Affinity_analysis &oldid=191707485.

  • Han, Jiawei, and Micheline Kamber (2001). Data mining: Concepts and Techniques. San Francisco, CA: Morgan Kaufmann Publishers.

  • Pitts, Joe W. (2007). Under Surveillance: The End of Illegal Domestic Spying? Don't Count on It. The Washington Spectator: Online Edition. Retrieved 12 April 2008, from http://www.washingtonspectator.com/articles/20070315surveillance_1.cfm.

  • Streitfeld, David (1999). Amazon.com's data-mining technology stirs Internet privacy controversy. Online Athens. Retrieved 12 April 2008, from http://www. onlineathens.com/stories/082899/new_0828990006.shtml.

  • Thuraisingham, Bhavani M (1999). Data Mining: Technologies, Techniques, Tools, and Trends. Boca Raton, FL: CRC Press.

  • Yang, Qiang, and Xindong Wu (2006). 10 Challenging Problems in Data Mining Research [Electronic version]. International Journal of Information Technology and Decision Making, 5 (4), 597-604.

  • Zobrist, George W. (2003). Data Mining and Privacy Issues. Today's Engineer Online. Retrieved 12 April 2008, from http://www.todaysengineer.org/2003/Oct/ data-mining.asp.


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