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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
14 years 9 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
HPDC
1999
IEEE
14 years 28 days ago
Toward a Common Component Architecture for High-Performance Scientific Computing
This paper describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from growing recognition that th...
Robert C. Armstrong, Dennis Gannon, Al Geist, Kata...
SSDBM
1999
IEEE
140views Database» more  SSDBM 1999»
14 years 27 days ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
Sanjay Goil, Alok N. Choudhary
TVCG
2012
210views Hardware» more  TVCG 2012»
11 years 11 months ago
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
Hanqi Guo, He Xiao, Xiaoru Yuan
ICPP
2000
IEEE
14 years 1 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary