Propositionalization Online
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.
Cite
Text
Lavrac et al. "Propositionalization Online." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014. doi:10.1007/978-3-662-44845-8_34Markdown
[Lavrac et al. "Propositionalization Online." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014.](https://mlanthology.org/ecmlpkdd/2014/lavrac2014ecmlpkdd-propositionalization/) doi:10.1007/978-3-662-44845-8_34BibTeX
@inproceedings{lavrac2014ecmlpkdd-propositionalization,
title = {{Propositionalization Online}},
author = {Lavrac, Nada and Perovsek, Matic and Vavpetic, Anze},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2014},
pages = {456-459},
doi = {10.1007/978-3-662-44845-8_34},
url = {https://mlanthology.org/ecmlpkdd/2014/lavrac2014ecmlpkdd-propositionalization/}
}