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» Distributed Data Mining Models as Services on the Grid
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PDCAT
2004
Springer
15 years 11 months ago
A Componentized Approach to Grid Enabling Seismic Wave Modeling Application
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
15 years 11 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
GMP
2006
IEEE
112views Solid Modeling» more  GMP 2006»
16 years 11 days ago
Time-Varying Volume Geometry Compression with 4D Lifting Wavelet Transform
Geometry compression is an effective way to distribute high-volume geometry data within limited bandwidth and storage capacity. In this paper, a new time-varying 3D geometry compre...
Yan Wang, Heba Hamza
IFIP12
2008
15 years 7 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...