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SIGKDD
2002
129views more  SIGKDD 2002»
13 years 5 months ago
Multi-Relational Data Mining: a Workshop Report
In this report, we briefly review the Multi-Relational Data Mining workshop, which was held in Edmonton, Canada on July, 23, 2002 as part of the workshop program of the 8th ACM SI...
Saso Dzeroski, Luc De Raedt
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 6 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 6 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
KDD
2009
ACM
296views Data Mining» more  KDD 2009»
14 years 6 months ago
Anonymizing healthcare data: a case study on the blood transfusion service
: Gaining access to high-quality health data is a vital requirement to informed decision making for medical practitioners and pharmaceutical researchers. Driven by mutual benefits ...
Noman Mohammed, Benjamin C. M. Fung, Patrick C. K....
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 6 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...