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[PDF][PDF] Building a System for Advancing Clinico-Genomic Trials on Cancer.
The analysis of clinico-genomic data poses complex computational problems. In the project
ACGT, a grid-based software system to support clinicians and bio-statisticians in their daily …
ACGT, a grid-based software system to support clinicians and bio-statisticians in their daily …
[PDF][PDF] Integration of data mining into scientific data analysis processes
D Wegener - 2012 - core.ac.uk
In recent years, using advanced semi-interactive data analysis algorithms such as those
from the field of data mining gained more and more importance in life science in general and …
from the field of data mining gained more and more importance in life science in general and …
Specification of distributed data mining workflows with DataMiningGrid
D Wegener, M May - Data mining techniques in grid computing …, 2008 - Wiley Online Library
This chapter gives an evaluation of the benefits of grid-based technology from a data miner's
perspective. It is focused on the DataMiningGrid, a standard-based and extensible …
perspective. It is focused on the DataMiningGrid, a standard-based and extensible …
An open workflow-oriented distributed computing system
V Stankovski - eWork and eBusiness in Architecture, Engineering …, 2010 - books.google.com
Existing Distributed Computation Platforms (DCPs) facilitate the sharing of heterogeneous
resources such as data, programs and computer clusters over local or wide-area networks …
resources such as data, programs and computer clusters over local or wide-area networks …
BUILDING SCALABLE DATA MINING GRID APPLICATIONS-An Application Description Schema and Associated Grid Services
Grid-enabling existing stand-alone data mining programs, data and other resources, such as
computational servers, is motivated by the possibility for their sharing via local and wide …
computational servers, is motivated by the possibility for their sharing via local and wide …
[PDF][PDF] GridR: Distributed Data Analysis using R
In the last couple of years, the amount of data to be analyzed in different areas grows
rapidly. Examples range from natural sciences (eg astronomy or particle physics), business …
rapidly. Examples range from natural sciences (eg astronomy or particle physics), business …