Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Hybrid sampling"'
Publikováno v:
Journal of Social Computing, Vol 5, Iss 3, Pp 232-241 (2024)
A credit risk prediction model named KM-ADASYN-TL-FLLightGBM (KADT-FLightGBM) is proposed in this study. Firstly, to overcome the limitation of traditional sampling methods in dealing with imbalanced datasets, an improved ADASYN sampling with K-means
Externí odkaz:
https://doaj.org/article/4e3909aa354f4a49be65357e2737613e
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-19 (2024)
Abstract Under the background of increasing system service data, it is difficult to trace the faults of power dispatching system. The current fault tracing method has some problems, such as low precision, low efficiency and difficult troubleshooting.
Externí odkaz:
https://doaj.org/article/933f9026d61f4828832d3263aa73c2fe
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes. The prediction task of customer churn becomes more challenging when ther
Externí odkaz:
https://doaj.org/article/5670f06b48934da7b2b72560b02fba5c
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Using deep learning models to deal with the classification tasks in network traffic offers a new approach to address the imbalanced Internet of Things malicious traffic classification problems. However, the employment difficulty of these mod
Externí odkaz:
https://doaj.org/article/43658439a54042a880af8f5095bf1a3f
Publikováno v:
In Journal of the Franklin Institute January 2025 362(1)
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 256-263 (2024)
ObjectiveAiming at the encirclement tactics adopted by enemy ships, this study focuses on the problem of planning an escape strategy when an unmanned surface vehicle (USV) is surrounded by enemy ships. MethodsA hybrid sampling deep Q-network (HS-DQN)
Externí odkaz:
https://doaj.org/article/d84f95e7bbf148e88729a7bfca3e1bbe
Autor:
Zhichao Xie, Xuan Huang
Publikováno v:
IEEE Access, Vol 12, Pp 162788-162798 (2024)
Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat. How to detect credit card fraud accurately and effectiv
Externí odkaz:
https://doaj.org/article/96a26aef58a14544870459fe92fa0296
Akademický článek
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Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 17672-17701 (2023)
To handle imbalanced datasets in machine learning or deep learning models, some studies suggest sampling techniques to generate virtual examples of minority classes to improve the models' prediction accuracy. However, for kernel-based support vector
Externí odkaz:
https://doaj.org/article/efe284450da34588952261493e606225
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25466- (2024)
With the advancement of e-commerce and modern technological development, credit cards are widely used for both online and offline purchases, which has increased the number of daily fraudulent transactions. Many organizations and financial institution
Externí odkaz:
https://doaj.org/article/1d94cee125dc440ea1042844f413a9b9