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ACSW
2004
14 years 11 months ago
A Framework for Privacy Preserving Classification in Data Mining
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
Zahidul Islam, Ljiljana Brankovic
SAC
2006
ACM
15 years 3 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
15 years 10 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
DMIN
2006
138views Data Mining» more  DMIN 2006»
14 years 11 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui