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Mahmudah, Kunti Robiatul, Indriani, Fatma, Takemori-Sakai, Yukiko, Iwata, Yasunori, Wada, Takashi, Satou, Kenji (2021) Classification of Imbalanced Data Represented as Binary Features. Applied Sciences, 11 (17) 7825pp. doi:10.3390/app11177825

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Reference TypeJournal (article/letter/editorial)
TitleClassification of Imbalanced Data Represented as Binary Features
JournalApplied Sciences
AuthorsMahmudah, Kunti RobiatulAuthor
Indriani, FatmaAuthor
Takemori-Sakai, YukikoAuthor
Iwata, YasunoriAuthor
Wada, TakashiAuthor
Satou, KenjiAuthor
Year2021 (August 25)Volume11
Issue17
PublisherMDPI AG
DOIdoi:10.3390/app11177825Search in ResearchGate
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Mindat Ref. ID13883005Long-form Identifiermindat:1:5:13883005:4
GUID0
Full ReferenceMahmudah, Kunti Robiatul, Indriani, Fatma, Takemori-Sakai, Yukiko, Iwata, Yasunori, Wada, Takashi, Satou, Kenji (2021) Classification of Imbalanced Data Represented as Binary Features. Applied Sciences, 11 (17) 7825pp. doi:10.3390/app11177825
Plain TextMahmudah, Kunti Robiatul, Indriani, Fatma, Takemori-Sakai, Yukiko, Iwata, Yasunori, Wada, Takashi, Satou, Kenji (2021) Classification of Imbalanced Data Represented as Binary Features. Applied Sciences, 11 (17) 7825pp. doi:10.3390/app11177825
In(2021, September) Applied Sciences Vol. 11 (17) MDPI AG

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