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.
Published in:
Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on
Date of Conference: 2005