Privacy-Preserving Data Mining Systems

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April 2007 (vol. 40 no. 4)

pp. 52-58

	ASCII Text	x
	Nan Zhang, Wei Zhao, "Privacy-Preserving Data Mining Systems," Computer, vol. 40, no. 4, pp. 52-58, April, 2007.

	BibTex	x
	@article{ 10.1109/MC.2007.142, author = {Nan Zhang and Wei Zhao}, title = {Privacy-Preserving Data Mining Systems}, journal ={Computer}, volume = {40}, number = {4}, issn = {0018-9162}, year = {2007}, pages = {52-58}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2007.142}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - Computer TI - Privacy-Preserving Data Mining Systems IS - 4 SN - 0018-9162 SP52 EP58 EPD - 52-58 A1 - Nan Zhang, A1 - Wei Zhao, PY - 2007 KW - data management KW - information sharing KW - data mining KW - privacy VL - 40 JA - Computer ER -

Nan Zhang, University of Texas at Arlington

Wei Zhao, Rensselaer Polytechnic Institute

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2007.142

Although successful in many applications, data mining poses special concerns for private data. An integrated architecture takes a systemic view of the problem, implementing established protocols for data collection, inference control, and information sharing.

Index Terms:

data management, information sharing, data mining, privacy

Citation:

Nan Zhang, Wei Zhao, "Privacy-Preserving Data Mining Systems," Computer, vol. 40, no. 4, pp. 52-58, Apr. 2007, doi:10.1109/MC.2007.142

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