@inproceedings{e60e99f235ac4b058604f3d0416bbaa8,
title = "The data dimensionality reduction in the classification process through greedy backward feature elimination",
abstract = "The article presents the author{\textquoteright}s algorithm of dimensionality reduction of used data set, realized through Greedy Backward Feature Elimination. Results of the dimensionality reduction are verified in the process of classification for 2 selected data sets. These data sets contain the data for the realization of the multiclass classification. The article presents not only a description of the algorithm but also an example and the results of classification, carried out by selected classifier before and after the process of dimensionality reduction. At the end of article, a summary and the possibility of further work are provided.",
keywords = "Algorithm, Classification, DIGITS, Dimensionality reduction, Feature selection, Kappa, Multiclass, UCI, URBAN, WEKA",
author = "Daniel Kostrzewa and Robert Brzeski",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 5th International Conference on Man-Machine Interactions, ICMMI 2017 ; Conference date: 03-10-2017 Through 06-10-2017",
year = "2018",
doi = "10.1007/978-3-319-67792-7\_39",
language = "English",
isbn = "9783319677910",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "397--407",
editor = "Aleksandra Gruca and Tadeusz Czachorski and Katarzyna Harezlak and Stanislaw Kozielski and Agnieszka Piotrowska and Tadeusz Czachorski",
booktitle = "Man-Machine Interactions 5 - 5th International Conference on Man-Machine Interactions, ICMMI 2017",
address = "Germany",
}