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» State-of-the-art in privacy preserving data mining
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CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 4 months ago
Personalized Data Set for Analysis
Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When suc...
Vishal Gupta, Ashutosh Saxena
CIKM
2009
Springer
14 years 2 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
WEBI
2009
Springer
14 years 2 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 9 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 8 months ago
A new scheme on privacy-preserving data classification
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Nan Zhang 0004, Shengquan Wang, Wei Zhao