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» Exception Rules Mining Based on Negative Association Rules
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ICDE
2009
IEEE
192views Database» more  ICDE 2009»
14 years 9 months ago
Deriving Private Information from Association Rule Mining Results
Data publishing can provide enormous benefits to the society. However, due to privacy concerns, data cannot be published in their original forms. Two types of data publishing can a...
Zutao Zhu, Guan Wang, Wenliang Du
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
14 years 1 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
APIN
2006
168views more  APIN 2006»
13 years 7 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
AUSAI
2006
Springer
13 years 11 months ago
Incorporating Pageview Weight into an Association-Rule-Based Web Recommendation System
Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user...
Liang Yan, Chunping Li
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 1 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