Publication: Auto-experimentation of KDD workflows based on ontological planning
Auto-experimentation of KDD workflows based on ontological planning
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Serban, F. (2010). Auto-experimentation of KDD workflows based on ontological planning. The 9th International Semantic Web Conference (ISWC 2010), Doctoral Consortium, 313–320. https://doi.org/10.1007/978-3-642-17749-1_22
Abstract
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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.). More
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- Serban, F
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Serban, F. (2010). Auto-experimentation of KDD workflows based on ontological planning. The 9th International Semantic Web Conference (ISWC 2010), Doctoral Consortium, 313–320. https://doi.org/10.1007/978-3-642-17749-1_22
