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1كتاب
المؤلفون: Ahammed, Ahiya, Harangi, Balázs, Hajdu, András
مصطلحات موضوعية: Műszaki tudományok, Informatikai tudományok
وصف الملف: application/pdf
العلاقة: Proceedings of the 1st Conference on Information Technology and Data Science / ed. István Fazekas, András Hajdu, Tibor Tómács. -Debrecen : CEUR Workshop Proceedings, 2021. -p. 1-18. -(CEUR Workshop Proceedings, ISSN 1613-0073; 2874.); https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM104441Test; 85107864355; https://hdl.handle.net/2437/338546Test; http://ceur-ws.org/Vol-2874/paper1.pdfTest
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2كتاب
المؤلفون: Ahammed, Ahiya, Hajdu, András, Harangi, Balázs
وصف الملف: text
العلاقة: http://real.mtak.hu/131351/1/Ahiya_CITDS_final.pdfTest; Ahammed, Ahiya and Hajdu, András and Harangi, Balázs (2020) Hybrid AdaBoost and Naïve Bayes Classifier for Supervised Learning. In: Proceedings of the 1st Conference on Information Technology and Data Science. CEUR Workshop Proceedings (2874). CEUR-WS Team, Redaktion Sun SITE, Informatik V, Aachen, pp. 1-18.
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3مؤتمر
المؤلفون: Khan, Fatema, Das, Maitraye, Ahammed, Ahiya
المصدر: 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)
الإتاحة: https://doi.org/10.1109/meditec.2016.7835368Test
http://xplorestaging.ieee.org/ielx7/7828314/7835354/07835368.pdf?arnumber=7835368Test -
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المؤلفون: Ahammed, Ahiya
المساهمون: Ispány, Márton, DE--Informatikai Kar
مصطلحات موضوعية: Data Mining, Hybrid, Classification, Supervised Learning, AdaBoost, Naïve Bayes, Decision Tree, Performance measure, DEENK Témalista::Informatika
وصف الملف: 52 p.; application/pdf
