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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 |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| 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. |
| Official URL | http://datamining.liacs.nl/planlearnpapers/planlearn2012_submission_3.pdf |
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| Other Identification Number | merlin-id:7142 |
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