Finding the optimal number of features based on mutual information

P. Chen; A. Wilbik; S. van Loon; A.-K. Boer; U. Kaymak

doi:10.1007/978-3-319-66830-7_43

Finding the optimal number of features based on mutual information

P. Chen, A. Wilbik, S. van Loon, A.-K. Boer, U. Kaymak

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

6 Citaten (Scopus)

2 Downloads (Pure)

Samenvatting

For high dimensional data analytics, feature selection is an indispensable preprocessing step to reduce dimensionality and keep the simplicity and interpretability of models. This is particularly important for fuzzy modeling since fuzzy models are widely recognized for their transparency and interpretability. Despite the substantial work on feature selection, there is little research on determining the optimal number of features for a task. In this paper, we propose a method to help find the optimal number of feature effectively based on mutual information.

Originele taal-2	Engels
Titel	Advances in Fuzzy Logic and Technology 2017 - Proceedings of
Subtitel	EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets
Uitgeverij	Springer
Pagina's	477-486
Aantal pagina's	10
Volume	641
ISBN van geprinte versie	9783319668291
DOI's	https://doi.org/10.1007/978-3-319-66830-7_43
Status	Gepubliceerd - 2018
Evenement	10th Conference of the European Society for Fuzzy Logic and Technology, (EUSFLAT 2017) and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, 11-15 September 2017, Warsaw, Poland - Warsaw, Polen Duur: 11 sep. 2017 → 15 sep. 2017 http://www.eusflat2017.ibspan.waw.pl/

Publicatie series

Naam	Advances in Intelligent Systems and Computing
Volume	641
ISSN van geprinte versie	2194-5357

Congres

Congres	10th Conference of the European Society for Fuzzy Logic and Technology, (EUSFLAT 2017) and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, 11-15 September 2017, Warsaw, Poland
Verkorte titel	EUSFLAT2017
Land/Regio	Polen
Stad	Warsaw
Periode	11/09/17 → 15/09/17
Internet adres	http://www.eusflat2017.ibspan.waw.pl/

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10.1007/978-3-319-66830-7_43

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Chen, P., Wilbik, A., van Loon, S., Boer, A.-K., & Kaymak, U. (2018). Finding the optimal number of features based on mutual information. In Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (Vol. 641, blz. 477-486). (Advances in Intelligent Systems and Computing; Vol. 641). Springer. https://doi.org/10.1007/978-3-319-66830-7_43

Chen, P. ; Wilbik, A. ; van Loon, S. et al. / Finding the optimal number of features based on mutual information. Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Vol. 641 Springer, 2018. blz. 477-486 (Advances in Intelligent Systems and Computing).

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abstract = "For high dimensional data analytics, feature selection is an indispensable preprocessing step to reduce dimensionality and keep the simplicity and interpretability of models. This is particularly important for fuzzy modeling since fuzzy models are widely recognized for their transparency and interpretability. Despite the substantial work on feature selection, there is little research on determining the optimal number of features for a task. In this paper, we propose a method to help find the optimal number of feature effectively based on mutual information.",

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author = "P. Chen and A. Wilbik and {van Loon}, S. and A.-K. Boer and U. Kaymak",

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Chen, P, Wilbik, A, van Loon, S, Boer, A-K & Kaymak, U 2018, Finding the optimal number of features based on mutual information. in Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. vol. 641, Advances in Intelligent Systems and Computing, vol. 641, Springer, blz. 477-486, 10th Conference of the European Society for Fuzzy Logic and Technology, (EUSFLAT 2017) and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017, 11-15 September 2017, Warsaw, Poland, Warsaw, Polen, 11/09/17. https://doi.org/10.1007/978-3-319-66830-7_43

Finding the optimal number of features based on mutual information. / Chen, P.; Wilbik, A.; van Loon, S. et al.
Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Vol. 641 Springer, 2018. blz. 477-486 (Advances in Intelligent Systems and Computing; Vol. 641).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - For high dimensional data analytics, feature selection is an indispensable preprocessing step to reduce dimensionality and keep the simplicity and interpretability of models. This is particularly important for fuzzy modeling since fuzzy models are widely recognized for their transparency and interpretability. Despite the substantial work on feature selection, there is little research on determining the optimal number of features for a task. In this paper, we propose a method to help find the optimal number of feature effectively based on mutual information.

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Chen P, Wilbik A, van Loon S, Boer AK , Kaymak U. Finding the optimal number of features based on mutual information. In Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Vol. 641. Springer. 2018. blz. 477-486. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-66830-7_43

Finding the optimal number of features based on mutual information

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