In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@inbook{Ghanem:2008,
author = {Ghanem, M and Curcin, V and Wendel, P and Guo, Y},
booktitle = {Data Mining Techniques in Grid Environments. Dubitzky, Werner (Ed).},
pages = {119--140},
publisher = {Wiley-Blackwell},
title = {Building and using analytical workflows in Discovery Net},
year = {2008}
}
TY - CHAP
AB - The Discovery Net platform is built around a workflow model for integrating distributed data sources and analytical tools. The platform was originally designed to support the design and execution of distributed data mining tasks within a grid-based environment. However, over the years it has evolved into a generic data analysis platform with applications in such diverse areas as bioinformatics, cheminformatics, text mining and business intelligence. In this work we present our experience in designing the platform and map out the evolution paths for a workflow language, and its architecture, that need to address the requirements of different scientific domains.
AU - Ghanem,M
AU - Curcin,V
AU - Wendel,P
AU - Guo,Y
EP - 140
PB - Wiley-Blackwell
PY - 2008///
SN - 9780470512586
SP - 119
TI - Building and using analytical workflows in Discovery Net
T1 - Data Mining Techniques in Grid Environments. Dubitzky, Werner (Ed).
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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