Zobrazeno 1 - 10
of 452
pro vyhledávání: '"Öznitelik seçimi"'
Autor:
ONAY, Funda KUTLU1 funda.kutlu@amasya.edu.tr
Publikováno v:
Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2023, Vol. 13 Issue 2, p281-298. 18p.
Autor:
BİLEN, Abdulkadir1 abdulkadir.bilen82@gmail.com, ÖZER, Ahmet Bedri2 bozer@firat.edu.tr
Publikováno v:
Firat University Journal of Science. 2022, Vol. 34 Issue 1, p31-37. 7p.
Autor:
YAĞMUR, Ece, YAĞMUR, Sercan
Publikováno v:
Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi; Oct2022, Vol. 22 Issue 5, p1028-1040, 13p
Publikováno v:
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2018, Vol. 33 Issue 1, p323-336. 14p.
Autor:
MUZOĞLU, Nedim, KAYA KARAASLAN, Melike, HALEFOĞLU, Ahmet Mesrur, YARMAN, Bekir Sıddık Binboğa
Publikováno v:
Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi; haz2022, Vol. 22 Issue 3, p577-587, 11p
Conference
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Autor:
Hüseyin AHMETOĞLU, Resul DAŞ
Publikováno v:
Volume: 14, Issue: 2 109-119
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Applications on the Internet have some coding-related security concerns. Weaknesses or vulnerabilities allow criminals to gain direct and public access to databases to steal sensitive data. This study proposes an approach based on heuristic feature s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99460130699d657fb04cb044432c9e2a
https://doi.org/10.54525/tbbmd.1018465
https://doi.org/10.54525/tbbmd.1018465
Autor:
BİLEN, Abdulkadir, ÖZER, Ahmet Bedri
Publikováno v:
Volume: 34, Issue: 1 31-37
Fırat Üniversitesi Fen Bilimleri Dergisi
Fırat Üniversitesi Fen Bilimleri Dergisi
Veri boyutlarındaki artışla birlikte araştırmacılar analiz aşamasını daha kolay hale getirmek için çeşitli yöntemlere ihtiyaç duymuşlardır. Veri boyutunu indirgemek ve analiz doğruluğu artırmak önem arz etmektedir. Veri analiz edi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::259ac5ad9803b25f53b452a64233e531
https://dergipark.org.tr/tr/pub/fufbd/issue/69012/1018308
https://dergipark.org.tr/tr/pub/fufbd/issue/69012/1018308
Publikováno v:
Volume: 2, Issue: 2 67-80
Journal of Science, Technology and Engineering Research
Journal of Science, Technology and Engineering Research
The aim of this study was determined as the prediction of heart disease by analyzing the factors that affect this disease with Machine Learning (ML) algorithms using the feature selection with the Genetic Algorithm (GA) approach. In this context, K-N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::4cc8630a000c1c4589b35ce3a77091b9
https://dergipark.org.tr/tr/pub/jster/issue/61588/1005934
https://dergipark.org.tr/tr/pub/jster/issue/61588/1005934
Publikováno v:
Issue: 30 12-16
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Salp Swarm Algorithm, a nature-inspired swarm-based algorithm, has become very popular in recent years. This study uses Salp Swarm Algorithm for feature selection and tries different classifiers as fitness functions on various datasets. BreastCancer,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::de14c27f41440df67893421b30ecbaa5
https://dergipark.org.tr/tr/pub/ejosat/issue/65856/1005417
https://dergipark.org.tr/tr/pub/ejosat/issue/65856/1005417