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PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
15 years 2 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
15 years 11 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
15 years 4 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
GIS
2009
ACM
15 years 1 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
SBBD
2003
135views Database» more  SBBD 2003»
14 years 11 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane