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Privacy-Preserving Data Mining Systems
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 - | |||
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, April 2007, doi:10.1109/MC.2007.142
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