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» Visual Data Mining in Large Geospatial Point Sets
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SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
15 years 1 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
14 years 9 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
3DPVT
2002
IEEE
172views Visualization» more  3DPVT 2002»
15 years 4 months ago
3D objects visualization for remote interactive medical applications
3D medical images produced in health centers represent tremendous amounts of data spread over different places. Automatic processing of these data often allow quantitative and rep...
Johan Montagnat, Eduardo Davila, Isabelle E. Magni...
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 3 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
15 years 6 months ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...