Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …
targeting un-suspecting users, especially as financial institutions expand their services to …
Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost
Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …
space has continued to proffer customers, various choices and alternatives to goods …
CoSoGMIR: A Social Graph Contagion Diffusion Framework using the Movement-Interaction-Return Technique
Besides the inherent benefits of exchanging information and interactions between nodes on
a social graph, they can also become a means for the propagation of knowledge. Social …
a social graph, they can also become a means for the propagation of knowledge. Social …
Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …
monetization and asset exchange with clients constantly seeking improved alternatives at …
Ensemble machine learning for monkeypox transmission time series forecasting
Public health is now in danger because of the current monkeypox outbreak, which has
spread rapidly to more than 40 countries outside of Africa. The growing monkeypox …
spread rapidly to more than 40 countries outside of Africa. The growing monkeypox …
Application of machine learning and resampling techniques to credit card fraud detection
The application of machine learning algorithms to the detection of fraudulent credit card
transactions is a challenging problem domain due to the high imbalance in the datasets and …
transactions is a challenging problem domain due to the high imbalance in the datasets and …
Factors affecting perceived effectiveness of multigenerational management leadership and metacognition among service industry companies
Workforce management has always been an essential consideration by businesses
worldwide to improve organizational efficiency. The measurement of diversified labor …
worldwide to improve organizational efficiency. The measurement of diversified labor …
Robust M-estimators and machine learning algorithms for improving the predictive accuracy of seaweed contaminated big data
A common problem in regression analysis using ordinary least squares (OLS) is the effect of
outliers or contaminated data on the estimates of the parameters. A robust method that is not …
outliers or contaminated data on the estimates of the parameters. A robust method that is not …
Hyper-parameter tuning for support vector machine using an improved cat swarm optimization algorithm
SA Abdulraheem, S Aliyu… - Journal of the Nigerian …, 2023 - journal.nsps.org.ng
Support vector machine (SVM) is a supervised machine learning algorithm for classification
and regression problems. SVM performs better when combined with other classifiers or …
and regression problems. SVM performs better when combined with other classifiers or …
[PDF][PDF] Quest for Empirical Solution to Runoff Prediction in Nigeria via Random Forest Ensemble: Pilot Study
BO Malasowe, BE Edim, W Adigwe… - … in Multidisciplinary & …, 2024 - unidel.edu.ng
Environmental factors and features often change to result in either harsh weather conditions
or rainfall, which often calms the weather as well as provides fast, significant downstream …
or rainfall, which often calms the weather as well as provides fast, significant downstream …