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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Auto-experimentation of KDD workflows based on ontological planning
Organization Unit
  • Floarea Serban
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Page Range 313 - 320
Event Title The 9th International Semantic Web Conference (ISWC 2010), Doctoral Consortium
Event Type conference
Event Location Shanghai, China
Event Start Date November 7 - 2010
Event End Date November 11 - 2010
Abstract Text One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually design workflows but this becomes difficult when there are too many operators to choose from or the workflow's size is too large. Therefore we propose to use auto-experimentation based on ontological planning to provide the users with automatic generated workflows as well as rankings for workflows based on several criteria (execution time, accuracy, etc.). Moreover auto-experimentation will help to validate the generated workflows and to prune and reduce their number. Furthermore we will use mixed-initiative planning to allow the users to set parameters and criteria to limit the planning search space as well as to guide the planner towards better workflows.
Digital Object Identifier 10.1007/978-3-642-17749-1_22
Other Identification Number 1461
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