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» Privacy in Data Mining Using Formal Methods
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ISI
2008
Springer
13 years 7 months ago
Data mining for social network analysis
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, t...
J. Srivastava
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 1 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
ICISC
2004
173views Cryptology» more  ICISC 2004»
13 years 9 months ago
On Private Scalar Product Computation for Privacy-Preserving Data Mining
In mining and integrating data from multiple sources, there are many privacy and security issues. In several different contexts, the security of the full privacy-preserving data mi...
Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mi...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 12 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ACSW
2004
13 years 9 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