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» Performance Measurements for Privacy Preserving Data Mining
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PAKDD
2005
ACM
115views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Performance Measurements for Privacy Preserving Data Mining
Abstract. This paper establishes the foundation for the performance measurements of privacy preserving data mining techniques. The performance is measured in terms of the accuracy ...
Nan Zhang 0004, Wei Zhao, Jianer Chen
ICEB
2004
175views Business» more  ICEB 2004»
13 years 6 months ago
Privacy-Preserving Data Mining in Electronic Surveys
Electronic surveys are an important resource in data mining. However, how to protect respondents' data privacy during the survey is a challenge to the security and privacy co...
Justin Z. Zhan, Stan Matwin
PODS
2001
ACM
148views Database» more  PODS 2001»
14 years 5 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 6 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 2 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...