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» Subgroup Discovery Techniques and Applications
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HIPC
1999
Springer
14 years 1 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
VDA
2010
186views Visualization» more  VDA 2010»
14 years 2 days ago
Tile-based parallel coordinates and its application in financial visualization
Parallel coordinates technique has been widely used in information visualization applications and it has achieved great success in visualizing multivariate data and perceiving the...
Jamal Alsakran, Ye Zhao, Xinlei Zhao
HPDC
2002
IEEE
14 years 2 months ago
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
James R. McCombs, Andreas Stathopoulos
BMCBI
2010
171views more  BMCBI 2010»
13 years 9 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
14 years 3 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...