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A grid infrastructure for mixed bioinformatics data and text mining
Cairo, Egypt January 03-January 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AICCSA.2005.1387038ACS/IEEE 2005 International Conferenc ...
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M. Ghanem, Imperial Coll. London, UK
A. Chortaras, Imperial Coll. London, UK
Y. Guo, Imperial Coll. London, UK
A. Rowe, Lab. d'Informatique pour la Mecanique, Sci. de lngenieur, France
J. Ratcliffe, Lab. d'Informatique pour la Mecanique, Sci. de lngenieur, France
Summary form only given. We present a distributed infrastructure for mixed data and text mining. Our approach is based on extending the discovery net infrastructure, a grid-computing environment for knowledge discovery, to allow end users to construct complex distributed text and data mining workflows. We describe our architecture, data model and visual programming approach and present a number of mixed data text mining examples over biological data.
Citation:
M. Ghanem, A. Chortaras, Y. Guo, A. Rowe, J. Ratcliffe, "A grid infrastructure for mixed bioinformatics data and text mining," aiccsa, pp.41-I, ACS/IEEE 2005 International Conference on Computer Systems and Applications (AICCSA'05), 2005
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