Ensemble and fuzzy techniques applied to imbalanced traffic congestion datasets a comparative study


== Abstract ==

Class imbalance is among the most persistent complications which may confront the traditional supervised learning task in real-world applications. Among the different kind of classification problems that have been studied in the literature, the imbalanced ones, particularly those that represents real-world problems, have attracted the interest of many researchers in recent years. In order to face this problems, different approaches have been used or proposed in the literature, between then, soft computing and ensemble techniques. In this work, ensembles and fuzzy techniques have been applied to real-world traffic datasets in order to study their performance in imbalanced real-world scenarios. KEEL platform is used to carried out this study. The results show that different ensemble techniques obtain the best results in the proposed datasets.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Lopez-Garcia_et_al_2018a-beopen3735-7698-document.pdf</pdf>


== Original document ==

The different versions of the original document can be found in:

* [https://zenodo.org/record/1309275 https://zenodo.org/record/1309275] under the license https://creativecommons.org/licenses/by

* [https://zenodo.org/record/1309275/files/ensemble-fuzzy-techniques.pdf https://zenodo.org/record/1309275/files/ensemble-fuzzy-techniques.pdf] under the license http://creativecommons.org/licenses/by/4.0/legalcode

* [http://link.springer.com/content/pdf/10.1007/978-3-319-91641-5_16 http://link.springer.com/content/pdf/10.1007/978-3-319-91641-5_16],
: [http://dx.doi.org/10.1007/978-3-319-91641-5_16 http://dx.doi.org/10.1007/978-3-319-91641-5_16] under the license cc-by

* [https://link.springer.com/chapter/10.1007/978-3-319-91641-5_16 https://link.springer.com/chapter/10.1007/978-3-319-91641-5_16],
: [https://www.scipedia.com/public/Lopez-Garcia_et_al_2018a https://www.scipedia.com/public/Lopez-Garcia_et_al_2018a],
: [https://dblp.uni-trier.de/db/conf/bioma/bioma2018.html#Lopez-GarciaMOO18 https://dblp.uni-trier.de/db/conf/bioma/bioma2018.html#Lopez-GarciaMOO18],
: [https://core.ac.uk/display/160002210 https://core.ac.uk/display/160002210],
: [https://academic.microsoft.com/#/detail/2800104830 https://academic.microsoft.com/#/detail/2800104830] under the license http://www.springer.com/tdm