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Francis Effirim Botchey

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2021
[j4]
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  - journals/informaticaSI/BotcheyQHA21
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  - https://dblp.org/rec/journals/informaticaSI/BotcheyQHA21
Francis Effirim Botchey, Zhen Qin, Kwesi Hughes-Lartey, Ernest Kwame Ampomah:
Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset. Informatica (Slovenia) 45(7) (2021)
2020
[j3]
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Ernest Kwame Ampomah, Zhiguang Qin, Gabriel Nyame, Francis Effirim Botchey:
Stock market decision support modeling with tree-based AdaBoost ensemble machine learning models. Informatica (Slovenia) 44(4) (2020)
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Francis Effirim Botchey, Zhen Qin, Kwesi Hughes-Lartey:
Mobile Money Fraud Prediction - A Cross-Case Analysis on the Efficiency of Support Vector Machines, Gradient Boosted Decision Trees, and Naïve Bayes Algorithms. Inf. 11(8): 383 (2020)
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Kwesi Hughes-Lartey, Zhen Qin, Francis Effirim Botchey, Sarah Dsane-Nsor:
An Assessment of Data Location Vulnerability for Human Factors Using Linear Regression and Collaborative Filtering. Inf. 11(9): 449 (2020)

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