A grid infrastructure for mixed bioinformatics data and text mining

  • Authors:
  • M. Ghanem;A. Chortaras;Y. Guo;A. Rowe;J. Ratcliffe

  • Affiliations:
  • Imperial Coll. London, UK;Imperial Coll. London, UK;Imperial Coll. London, UK;Lab. d'Informatique pour la Mecanique, Sci. de lngenieur, France;Lab. d'Informatique pour la Mecanique, Sci. de lngenieur, France

  • Venue:
  • AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
  • Year:
  • 2005

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Abstract

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.