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Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS).

Autor: Ahmad H; Department of Computer Science, Applied Science Private University, Amman, 11931 Jordan., Kasasbeh B; Department of Computer Science, Applied Science Private University, Amman, 11931 Jordan., Aldabaybah B; Department of Computer Science, Applied Science Private University, Amman, 11931 Jordan., Rawashdeh E; Department of Management Information Systems, Albalqa' Applied University, Amman, 11931 Jordan.

Publikováno v: International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management [Int J Inf Technol] 2023; Vol. 15 (1), pp. 325-333. Date of Electronic Publication: 2022 Jun 21.

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ReadCurrent: a VDCNN-based tool for fast and accurate nanopore selective sequencing.

Autor: Fan, Kechen^1,2 (AUTHOR), Li, Mengfan^1,3 (AUTHOR), Zhang, Jiarong^1,4 (AUTHOR), Xie, Zihan^1,5 (AUTHOR), Jiang, Daguang² (AUTHOR), Bo, Xiaochen¹ (AUTHOR), Zhao, Dongsheng³ (AUTHOR), Shi, Shenghui² (AUTHOR) niming@bmi.ac.cn, Ni, Ming¹ (AUTHOR) niming@bmi.ac.cn

Publikováno v: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-11. 11p.

Investigating Credit Card Payment Fraud with Detection Methods Using Advanced Machine Learning.

Autor: Chang, Victor¹ (AUTHOR) ba7688818@gmail.com, Ali, Basit¹ (AUTHOR) meghana.ganatra@gmail.com, Golightly, Lewis² (AUTHOR) l.golightly@tees.ac.uk, Ganatra, Meghana Ashok¹ (AUTHOR) m.mohamed10@aston.ac.uk, Mohamed, Muhidin¹ (AUTHOR)

Publikováno v: Information (2078-2489). Aug2024, Vol. 15 Issue 8, p478. 20p.