A KDD Process for Discrimination Discovery
Abstract
The acceptance of analytical methods for discrimination discovery by practitioners and legal scholars can be only achieved if the data mining and machine learning communities will be able to provide case studies, methodological refinements, and the consolidation of a KDD process. We summarize here an approach along these directions.
Cite
Text
Ruggieri and Turini. "A KDD Process for Discrimination Discovery." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_28Markdown
[Ruggieri and Turini. "A KDD Process for Discrimination Discovery." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/ruggieri2016ecmlpkdd-kdd/) doi:10.1007/978-3-319-46131-1_28BibTeX
@inproceedings{ruggieri2016ecmlpkdd-kdd,
title = {{A KDD Process for Discrimination Discovery}},
author = {Ruggieri, Salvatore and Turini, Franco},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2016},
pages = {249-253},
doi = {10.1007/978-3-319-46131-1_28},
url = {https://mlanthology.org/ecmlpkdd/2016/ruggieri2016ecmlpkdd-kdd/}
}