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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Designing KDD-Workflows via HTN-Planning for Intelligent Discovery Assistance
Organization Unit
  • Jörg-Uwe Kietz
  • Floarea Serban
  • Abraham Bernstein
  • Simon Fischer
  • Joaquin Vanschoren
  • Jörg-Uwe Kietz
  • Pavel Brazdil
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Event Title Planning to Learn 2012, Workshop at ECAI 2012
Event Type workshop
Event Location Montpellier, France
Event Start Date August 28 - 2012
Event End Date August 28 - 2012
Place of Publication CEUR Workshop Proceedings
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 cor- rectness of workflows is not checked before execution. Hence, the execution of a workflow frequently stops with an error after several hours of runtime.This paper presents our tools, eProPlan and eIDA, which solve the above problems by supporting the whole life-cycle of (semi-) auto- matic 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 Dis- covery Assistant, eIDA, allows to place workflows into data mining (DM) tools or workflow engines for execution.
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