Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Tomek links"'
Publikováno v:
International Journal of Web Research, Vol 7, Iss 4, Pp 51-64 (2024)
Securing computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance challenges conventional alg
Externí odkaz:
https://doaj.org/article/2ffcc47d5b0e42b399dc7f57e09e577c
Autor:
Maram Alamri, Mourad Ykhlef
Publikováno v:
IEEE Access, Vol 12, Pp 14050-14060 (2024)
Recent developments in the use of credit cards for a range of daily life activities have increased credit card fraud and caused huge financial losses for individuals and financial institutions. Most credit card frauds are conducted online through ill
Externí odkaz:
https://doaj.org/article/d12b44983259475ba9c5c4d1a56a5bb5
Publikováno v:
PeerJ Computer Science, Vol 10, p e1915 (2024)
With the growth of people’s demand for loans, banks and other financial institutions put forward higher requirements for customer credit risk level classification, the purpose is to make better loan decisions and loan amount allocation and reduce t
Externí odkaz:
https://doaj.org/article/284dcaac8b6d4796ae31d472382578f7
Autor:
Hanif Noer Rofiq
Publikováno v:
Jurnal Jaminan Kesehatan Nasional, Vol 3, Iss 1 (2023)
Inefisiensi merupakan salah satu masalah yang perlu diperhatikan pada klaim yang diajukan oleh fasilitas kesehatan ke BPJS Kesehatan. Dengan jumlah klaim yang semakin meningkat, cara tradisional seperti verifikasi manual tidak akan dapat menangani ju
Externí odkaz:
https://doaj.org/article/7b2ed913f47c4b43bcd44d2cea9d95ca
Akademický článek
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Autor:
Haoming Wang
Publikováno v:
Symmetry, Vol 15, Iss 10, p 1849 (2023)
To alleviate the data imbalance problem caused by subjective and objective factors, scholars have developed different data-preprocessing algorithms, among which undersampling algorithms are widely used because of their fast and efficient performance.
Externí odkaz:
https://doaj.org/article/79695dafe14545aa9c931e80082b2041
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
Abstract Label noise is an important data quality issue that negatively impacts machine learning algorithms. For example, label noise has been shown to increase the number of instances required to train effective predictive models. It has also been s
Externí odkaz:
https://doaj.org/article/978a0676e9214d40b2e53b347947b1fd
Autor:
Gao Yang, Liu Qicheng
Publikováno v:
IEEE Access, Vol 9, Pp 130990-130996 (2021)
Aiming at the low classification accuracy of unbalanced data sets, an improved SMOTE over-sampling algorithm ACC-SMOTE (Ant Colony Clustering Synthetic Minority Oversampling Technology) based on ant colony clustering is proposed. On the one hand, the
Externí odkaz:
https://doaj.org/article/bfd1a2db623740a3bcd35d70613a8554
Publikováno v:
Symmetry, Vol 15, Iss 4, p 887 (2023)
The Air Quality Index (AQI) dataset contains information on measurements of pollutants and ambient air quality conditions at certain location that can be used to predict air quality. Unfortunately, this dataset often has many missing observations and
Externí odkaz:
https://doaj.org/article/841070b55af84b2f9a64019f0ab9c85b
Autor:
Shoaib Munawar, Nadeem Javaid, Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Ahmad H. Milyani, Abdullah Ahmed Azhari
Publikováno v:
Sensors, Vol 22, Iss 20, p 7818 (2022)
In this paper, a defused decision boundary which renders misclassification issues due to the presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both classes and misguide the classifier due to the defused data samples
Externí odkaz:
https://doaj.org/article/4c1e5f94431b4bc7a6fe5f92970987b2