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ICDE
2009
IEEE
132views Database» more  ICDE 2009»
15 years 11 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
BNCOD
2009
228views Database» more  BNCOD 2009»
14 years 11 months ago
A Data Privacy Taxonomy
Abstract. Privacy has become increasingly important to the database community which is reflected by a noteworthy increase in research papers appearing in the literature. While rese...
Ken Barker, Mina Askari, Mishtu Banerjee, Kambiz G...
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 4 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
TDP
2010
166views more  TDP 2010»
14 years 4 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
15 years 10 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