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IEAAIE
2009
Springer
13 years 6 months ago
Hiding Predictive Association Rules on Horizontally Distributed Data
Abstract. In this work, we propose two approaches of hiding predictive association rules where the data sets are horizontally distributed and owned by collaborative but non-trustin...
Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, ...
KDD
1998
ACM
146views Data Mining» more  KDD 1998»
14 years 28 days ago
Mining Association Rules in Hypertext Databases
In this workweproposea generalisation of the notion of associationrule in the contextof flat transactions to that of a compositeassociation rule in the context of a structured dir...
José Borges, Mark Levene
LWA
2008
13 years 10 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz
PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
14 years 2 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock