Abstract
Inductive Logic Programming and Relational Data Mining address the task of inducing models or patterns from multi-relational data. An established relational data mining approach is propositionalization, characterized by transforming a relational database into a single-table representation. The paper presents a propositionalization toolkit implemented in the web-based data mining platform ClowdFlows. As a contemporary integration platform it enables workflow construction and execution, provides open access to Aleph, RSD, RelF and Wordification feature construction engines, and enables RDM performance comparison through cross-validation and ViperCharts results visualization. © 2014 Springer-Verlag.
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CITATION STYLE
Lavrač, N., Perovšek, M., & Vavpetič, A. (2014). Propositionalization online. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8726 LNAI, pp. 456–459). Springer Verlag. https://doi.org/10.1007/978-3-662-44845-8_34
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