Title: Mining views: Database views for data mining
Authors: Blockeel, Hendrik
Calders, Toon
Fromont, Elisa
Goethals, Bart
Prado, Adriana
Issue Date: 2007
Host Document: Proceedings of the 1st International Workshop on Constraint-Based Mining and Learning pages:21-33
Conference: International Workshop on Constraint-Based Mining and Learning location:Warsaw, Poland date:September 21, 2007
Abstract: Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability of experiments and generalizability of results remain a concern. In this paper we propose a methodology based on the use of experiment databases. Experiment databases facilitate large-scale experimentation, guarantee repeatability of experiments, improve reusability of experiments, help explicitating the conditions under which certain results are valid, and support quick hypothesis testing as well as hypothesis generation.We show that they have the potential to significantly increase the ease with which new results in machine learning can be obtained and correctly interpreted.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section

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