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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | Designing KDD-Workflows via HTN-Planning |
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| Presentation Type | other |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| 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 |
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| Digital Object Identifier | 10.3233/978-1-61499-098-7-1011 |
| Other Identification Number | merlin-id:7117 |
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