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» A Comparison of Two Approaches to Data Mining from Imbalance...
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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
14 years 2 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
ICDE
2009
IEEE
192views Database» more  ICDE 2009»
14 years 10 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
ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
14 years 2 months ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang