PETLIAK, Nataliia, Oleksandra TMENOVA, Matúš NÁMEŠNÝ, Tomáš BONČO a Lubomír POPELÍNSKÝ. Performing Feature Selection Before Removing Outliers To Increase Classfier's Accuracy. Online. In Jaroslav Zendulka, Mária Bieliková, Radek Burget, Zbyněk Křivka. DATA A ZNALOSTI & WIKT 2018, sborník konference. Brno: VUT Brno, 2018, s. 77-82. ISBN 978-80-214-5679-2. |
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@inproceedings{1521197, author = {Petliak, Nataliia and Tmenova, Oleksandra and Námešný, Matúš and Bončo, Tomáš and Popelínský, Lubomír}, address = {Brno}, booktitle = {DATA A ZNALOSTI & WIKT 2018, sborník konference}, editor = {Jaroslav Zendulka, Mária Bieliková, Radek Burget, Zbyněk Křivka}, keywords = {Feature selection; Outlier detection; classification accuracy}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Brno}, isbn = {978-80-214-5679-2}, pages = {77-82}, publisher = {VUT Brno}, title = {Performing Feature Selection Before Removing Outliers To Increase Classfier's Accuracy}, year = {2018} }
TY - JOUR ID - 1521197 AU - Petliak, Nataliia - Tmenova, Oleksandra - Námešný, Matúš - Bončo, Tomáš - Popelínský, Lubomír PY - 2018 TI - Performing Feature Selection Before Removing Outliers To Increase Classfier's Accuracy PB - VUT Brno CY - Brno SN - 9788021456792 KW - Feature selection KW - Outlier detection KW - classification accuracy N2 - This work addresses the problem of feature selection for boosting the performance of outlier detectors in the context of supervised classification. Different feature selection and outlier detection methods are applied to four datasets used in the experiment and a comparative analysis between combinations of these methods is reported. We present combinations producing the best accuracy of a classifier and show the optimal number of outliers to be removed. ER -
PETLIAK, Nataliia, Oleksandra TMENOVA, Matúš NÁMEŠNÝ, Tomáš BONČO a Lubomír POPELÍNSKÝ. Performing Feature Selection Before Removing Outliers To Increase Classfier's Accuracy. Online. In Jaroslav Zendulka, Mária Bieliková, Radek Burget, Zbyněk Křivka. \textit{DATA A ZNALOSTI \&{} WIKT 2018, sborník konference}. Brno: VUT Brno, 2018, s.~77-82. ISBN~978-80-214-5679-2.
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