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IEAAIE
2009
Springer
13 years 2 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, ...
ISI
2007
Springer
13 years 11 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
KER
2006
107views more  KER 2006»
13 years 4 months ago
Partitioning strategies for distributed association rule mining
In this paper a number of alternative strategies for distributed/parallel association rule mining are investigated. The methods examined make use of a data structure, the T-tree, ...
Frans Coenen, Paul H. Leng
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
13 years 11 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...
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
13 years 9 months ago
Computing Optimized Rectilinear Regions for Association Rules
We address the problem of nding useful regions for two-dimensional association rules and decision trees. In a previous paper we presented ecient algorithms for computing optimiz...
Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, ...