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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title Designing KDD-Workflows via HTN-Planning
Organization Unit
  • Jörg-Uwe Kietz
  • Floarea Serban
  • Abraham Bernstein
  • Simon Fischer
  • Luc De Raedt
  • Christian Bassiere
  • Didier Dubois
  • Patrick Doherty
  • Paolo Frasconi
  • Fredrik Heintz
  • Peter Lucas
Presentation Type other
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 978-1-61499-097-0
Event Title European Conference on Artificial Intelligence, Systems Demos
Event Type conference
Event Location Montpellier, France
Event Start Date August 27 - 2012
Event End Date August 31 - 2012
Series Name Frontiers in Artificial Intelligence and Applications
Number 242
Publisher I O S Press
Abstract Text Knowledge Discovery in Databases (KDD) has evolved a lot during the last years and reached a mature stage offering plenty of operators to solve complex data analysis tasks. However, the user support for building workflows has not progressed accordingly. The large number of operators currently available in KDD systems makes it difficult for users to successfully analyze data. In addition, the correctness of workflows is not checked before execution. This demo presents our tools, eProPlan and eIDA, which solve the above problems by supporting the whole cycle of (semi-) automatic workflow generation. Our modeling tool eProPlan, allows to describe operators and build a task/method decomposition grammar to specify the desired workflows. Additionally, our Intelligent Discovery Assistant, eIDA, allows to place workflows into data mining (DM) suites or workflow engines for execution.
Free access at DOI
Related URLs
Digital Object Identifier 10.3233/978-1-61499-098-7-1011
Other Identification Number merlin-id:7117
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