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KDD
2006
ACM

A component-based framework for knowledge discovery in bioinformatics

12 years 10 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based development can significantly enhance reusability and productivity for short timeline projects with a small team. We present Interactive Knowledge Discovery and Data mining (iKDD), an application framework written in Java that was specifically designed for these purposes. Results: iKDD consists of a component-based architecture and a web-based tool for pre-clinical research and prototype development. The platform provides an intuitive and consistent interface to create and maintain components, e.g., data structures, algorithms and utilities to load, save and visualize data and pipelines. The rich-featured tool supplies database connectivity, workflow processing and rapid prototype building. The architecture was carefully designed using an object-oriented approach that respects crucial goals: usability, openness, ...
Julien Etienne, Bernd Wachmann, Lei Zhang
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2006
Where KDD
Authors Julien Etienne, Bernd Wachmann, Lei Zhang
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