1 / 10

Social and Privacy Issues of Data Mining

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

jasia
Télécharger la présentation

Social and Privacy Issues of Data Mining

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Patrick Vacek 21 April 2008 MATH 3210 Social and Privacy Issues of Data Mining

  2. Overview • The Inference Problem • Privacy • Commercial and Government Uses • Concerns • The Future

  3. 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

  4. Privacy Issues • World Wide Web • Sensitive information • Security • Encryption • Split databases Sources: Thurasisingham 202-203; Han and Kamber 478

  5. Commercial Uses • Market basket analysis • Billing information • Amazon.com Source: Streitfeld

  6. 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

  7. Concerns for Data Mining • Could become a derogatory term • Consumer weariness and confidence • "Big Brother" Source: Yang and Wu

  8. The Future • Fair information practices • Openness • Limited use • Opt-out • Enhanced security Source: Han and Kamber 477-478

  9. Summary • The Inference Problem • Privacy • Commercial and Government Uses • Concerns • The Future

  10. 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.

More Related