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KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 4 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
CIKM
2009
Springer
13 years 8 months ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
13 years 9 months ago
T-Trees, Vertical Partitioning and Distributed Association Rule Mining
Frans Coenen, Paul H. Leng, Shakil Ahmed
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
13 years 9 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 3 months ago
Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data
We consider privacy preserving decision tree induction via ID3 in the case where the training data is horizontally or vertically distributed. Furthermore, we consider the same pro...
Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl...