Scientific Workflow Management with ADAMS

  • Peter Reutemann
  • Joaquin Vanschoren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7524)

Abstract

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.

Keywords

scientific workflows machine learning data mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Peter Reutemann
    • 1
  • Joaquin Vanschoren
    • 2
  1. 1.University of WaikatoHamiltonNew Zealand
  2. 2.Leiden UniversityLeidenNetherlands

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