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» Maintaining Data Privacy in Association Rule Mining
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FC
2009
Springer
150views Cryptology» more  FC 2009»
14 years 3 months ago
Privacy-Preserving Information Markets for Computing Statistical Data
Abstract. Consider an “information market” where private and potentially sensitive data are collected, treated as commodity and processed into aggregated information with comme...
Aggelos Kiayias, Bülent Yener, Moti Yung
IAT
2009
IEEE
13 years 6 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
JMLR
2010
116views more  JMLR 2010»
13 years 3 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla