Scientific Workflow Management with ADAMS.

ECML/PKDD (2)(2012)

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摘要
We demonstrate the Advanced Data mining And Machine learning System (ADAMS), a novel workflow engine designed for rapid prototyping and maintenance of complex knowledge workflows. ADAMS does not require the user to manually connect inputs to outputs on a large canvas. It uses a compact workflow representation, control operators , and a simple interface between operators, allowing them to be auto-connected. It contains an extensive library of operators for various types of analysis, and a convenient plug-in architecture to easily add new ones.
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关键词
compact workflow representation,novel workflow engine,Advanced Data mining,complex knowledge workflows,control operator,convenient plug-in architecture,extensive library,large canvas,rapid prototyping,simple interface,scientific workflow management
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