Zobrazeno 1 - 10
of 4 837
pro vyhledávání: '"Undersampling"'
Autor:
Olivier Kashongwe, Tina Kabelitz, Christian Ammon, Lukas Minogue, Markus Doherr, Pablo Silva Boloña, Thomas Amon, Barbara Amon
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 3427-3442 (2024)
Missing data and class imbalance hinder the accurate prediction of rare events such as dairy mastitis. Resampling and imputation are employed to handle these problems. These methods are often used arbitrarily, despite their profound impact on predict
Externí odkaz:
https://doaj.org/article/1d9d667177fa4ee0a7e25f66a9810e4c
Publikováno v:
Techne, Vol 23, Iss 2 (2024)
The increasing prevalence of the Internet of Things (IoT) in various sectors presents new challenges related to security and protection against cyberattacks. The connection of IoT devices to the Internet network makes them vulnerable to various types
Externí odkaz:
https://doaj.org/article/a6fbb4a3874e472f8920e17d6e2e52ab
Publikováno v:
Techne, Vol 23, Iss 2 (2024)
The security of Internet of Things devices is a factor that must be considered because device damage and data theft can occur. Internet of Things devices are very useful in various sectors, such as health, transportation, and industrial sectors. Atta
Externí odkaz:
https://doaj.org/article/914fcfa0c0b04899b9d3215405098340
Publikováno v:
Scientific Journal of Astana IT University, Pp 5-16 (2024)
The field of medicine is witnessing rapid development of AI, highlighting the importance of proper data processing. However, when working with medical data, there is a problem of class imbalance, where the amount of data about healthy patients signif
Externí odkaz:
https://doaj.org/article/db804aae1456473c8bf37dc87d158a96
Publikováno v:
Knowledge, Vol 4, Iss 1, Pp 96-119 (2024)
One of the major problems in classifying network attack tactics is the imbalanced nature of data. Typical network datasets have an extremely high percentage of normal or benign traffic and machine learners are skewed toward classes with more data; he
Externí odkaz:
https://doaj.org/article/2d54cb2d96fb4ffda3204e577fb2b1de
Autor:
Irfan Surya Ramadhan, Abu Salam
Publikováno v:
Techno.Com, Vol 23, Iss 1, Pp 20-28 (2024)
Kista ginjal adalah pertumbuhan jaringan berbentuk kantong yang berisi carian pada sekitar ginjal. Seringkali kista ginjal tidak menimbulkan gejala, sehingga memerlukan pantauan reguler dokter. Dokter dapat melakukan pemeriksaan dan merencanakan tind
Externí odkaz:
https://doaj.org/article/e8d1cbf8223040bf959cef0a6827ae4b
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-41 (2024)
Abstract In the domain of Medicare insurance fraud detection, handling imbalanced Big Data and high dimensionality remains a significant challenge. This study assesses the combined efficacy of two data reduction techniques: Random Undersampling (RUS)
Externí odkaz:
https://doaj.org/article/9d24166ba09043d38c384d2db436fbe9
Autor:
Duygu Yilmaz Eroglu, Mestan Sahin Pir
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10438 (2024)
The improvements in collecting and processing data using machine learning algorithms have increased the interest in data mining. This trend has led to the development of real-life decision support systems (DSSs) in diverse areas such as biomedical in
Externí odkaz:
https://doaj.org/article/73b98b51ebf04d2d9ebf15b54a2a2c35
Autor:
Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elena Tolozano-Benitez, Víctor Gómez-Rodríguez, Lorenzo Cevallos-Torres, Jorge Charco-Aguirre, Leonel Vasquez-Cevallos
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3351 (2024)
Unbalanced data can have an impact on the machine learning (ML) algorithms that build predictive models. This manuscript studies the influence of oversampling and undersampling strategies on the learning of the Bayesian classification models that pre
Externí odkaz:
https://doaj.org/article/9dc7daaa75af4d11b7906e60b298d9ff
Autor:
S. Hardersen, G. La Porta
Publikováno v:
The European Zoological Journal, Vol 90, Iss 2, Pp 660-672 (2023)
AbstractThe Bray–Curtis dissimilarity is widely used to calculate β diversity on abundance data. However, the effect of undersampling on this index has received limited attention and only few studies addressed this topic. The paper aimed to invest
Externí odkaz:
https://doaj.org/article/e5e1934a8ede47d1889b9ed1ee53dd5c