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» A Parallel Scalable Infrastructure for OLAP and Data Mining
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GCC
2004
Springer
15 years 3 months ago
Applying Grid Technologies to Distributed Data Mining
The Grid promises improvements in the effectiveness with which global businesses are managed, if it enables distributed expertise to be efficiently applied to the analysis of dist...
Alastair C. Hume, Ashley D. Lloyd, Terence M. Sloa...
ICDCS
2006
IEEE
15 years 3 months ago
ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Jianhong Zhou, Ashfaq A. Khokhar
ICPP
2000
IEEE
15 years 2 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
CCGRID
2008
IEEE
15 years 4 months ago
A Trusted Data Storage Infrastructure for Grid-Based Medical Applications
Most existing Grid technology has been foremost designed with performance and scalability in mind. When using Grid infrastructure for medical applications, privacy and security co...
Guido van 't Noordende, Sílvia Delgado Olab...
VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 2 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...