Antonio C. Fraideinberze, Jose F. Rodrigues Jr., Robson L. F. Cordeiro. Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations. In Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo A. Baeza-Yates, Zhi-Hua Zhou, Xindong Wu, editors, IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. pages 615-622, IEEE, 2016. [doi]
@inproceedings{FraideinberzeRC16,
title = {Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations},
author = {Antonio C. Fraideinberze and Jose F. Rodrigues Jr. and Robson L. F. Cordeiro},
year = {2016},
doi = {10.1109/ICDMW.2016.0093},
url = {http://dx.doi.org/10.1109/ICDMW.2016.0093},
researchr = {https://researchr.org/publication/FraideinberzeRC16},
cites = {0},
citedby = {0},
pages = {615-622},
booktitle = {IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain},
editor = {Carlotta Domeniconi and Francesco Gullo and Francesco Bonchi and Josep Domingo-Ferrer and Ricardo A. Baeza-Yates and Zhi-Hua Zhou and Xindong Wu},
publisher = {IEEE},
}