[HTML][HTML] Empirical analysis of tree-based classification models for customer churn prediction
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …
particularly the telecommunications industry. Considering the fierce competition among …
[HTML][HTML] Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …
enabling the identification of defective modules before the testing phase. This study aims to …
Software defect prediction using an intelligent ensemble-based model
M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …
cost savings in testing. Its primary objective is to identify and send only defective modules to …
Software defect prediction approach based on a diversity ensemble combined with neural network
J Chen, J Xu, S Cai, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
There is a severe class imbalance problem in defect datasets, with nondefective data
dominating the distribution, making it easy to generate inaccurate software defect prediction …
dominating the distribution, making it easy to generate inaccurate software defect prediction …
[HTML][HTML] Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
FE Usman-Hamza, AO Balogun, RT Amosa… - Scientific African, 2024 - Elsevier
In recent times, customer churn has become one of the most significant issues in business-
oriented sectors with telecommunication being no exception. Maintaining current customers …
oriented sectors with telecommunication being no exception. Maintaining current customers …
A Hierarchical Ensemble Learning Approach for Cable Network Impairment Diagnosis
Due to the extensive interconnectedness of components in modern engineering systems,
fault diagnosis plays a pivotal role in ensuring system reliability, operational continuity, and …
fault diagnosis plays a pivotal role in ensuring system reliability, operational continuity, and …
Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models
Over the years, there has been a considerable discussion regarding machine learning (ML)
techniques to forecast software faults. It can be challenging to choose a suitable machine …
techniques to forecast software faults. It can be challenging to choose a suitable machine …
Cascade Generalization-based Classifiers for Software Defect Prediction
The process of software defect prediction (SDP) involves predicting which software system
modules or components pose the highest risk of being defective. The projections and …
modules or components pose the highest risk of being defective. The projections and …
Impact of a Synthetic Data Vault for Imbalanced Class in Cross-Project Defect Prediction
Abstract Software Defect Prediction (SDP) is crucial for ensuring software quality. However,
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …