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COMPSAC
2004
IEEE
13 years 10 months ago
Hiding Sensitive Patterns in Association Rules Mining
Data mining techniques have been developed in many applications. However, it also causes a threat to privacy. We investigate to find an appropriate balance between a need for priv...
Guanling Lee, Chien-Yu Chang, Arbee L. P. Chen
COMPSAC
2005
IEEE
13 years 8 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
13 years 4 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 7 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 7 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...