Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction

Autor: Fatima E. Usman-Hamza, Abdullateef O. Balogun, Ramoni T. Amosa, Luiz Fernando Capretz, Hammed A. Mojeed, Shakirat A. Salihu, Abimbola G. Akintola, Modinat A. Mabayoje

Publikováno v: Scientific African, Vol 24, Iss , Pp e02223- (2024)

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 is particularly valuable due to the high degree of rivalry among telec

Externí odkaz: https://doaj.org/article/5dd69129fdd247a1b98d66f67472cd61

Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions

Autor: Kayode S. Adewole, Hammed A. Mojeed, James A. Ogunmodede, Lubna A. Gabralla, Nasir Faruk, Abubakar Abdulkarim, Emmanuel Ifada, Yusuf Y. Folawiyo, Abdukareem A. Oloyede, Lukman A. Olawoyin, Ismaeel A. Sikiru, Musa Nehemiah, Abdulsalam Ya’u Gital, Haruna Chiroma

Publikováno v: Applied Sciences, Vol 12, Iss 23, p 12342 (2022)

Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the hea

Externí odkaz: https://doaj.org/article/f60f763cc0c54eb5abd749c7ffdbb5a3

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

Autor: Abdullateef O. Balogun, Shuib Basri, Saipunidzam Mahamad, Said J. Abdulkadir, Malek A. Almomani, Victor E. Adeyemo, Qasem Al-Tashi, Hammed A. Mojeed, Abdullahi A. Imam, Amos O. Bajeh

Publikováno v: Symmetry, Vol 12, Iss 7, p 1147 (2020)

Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and many FS methods have been proposed in the context of software defect prediction (SDP). Moreover, many empirical studies on the impact and effectiveness of F

Externí odkaz: https://doaj.org/article/079e6bde11c045129070b2ed6d90a501

Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection

Autor: Abdullateef Iyanda Bako, Abdullateef Oluwagbemiga Balogun, Hammed A. Mojeed, Amos Orenyi Bajeh, Abdulfatai Ganiyu Oladepo, Abdulsalam Abiodun Salman

Publikováno v: International Journal of Interactive Mobile Technologies, Vol 15, Iss 17, Pp 84-103 (2021)
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 84-103

This study presents a novel framework based on a heterogeneous ensemble method and a hybrid dimensionality reduction technique for spam detection in micro-blogging social networks. A hybrid of Information Gain (IG) and Principal Component Analysis (P

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd35710a417002aa2dae28eaf61ab6a
https://online-journals.org/index.php/i-jim/article/view/19915

Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction

Autor: Shakirat Aderonke Salihu, Abdulateef Oluwagbemiga Balogun, Tamunopriye Ene Dagogo-George, Modinat Abolore Mabayoje, Hammed A. Mojeed

Publikováno v: Jurnal Teknologi dan Sistem Komputer, Vol 8, Iss 4, Pp 297-303 (2020)

Diabetic Retinopathy (DR) is a condition that emerges from prolonged diabetes, causing severe damages to the eyes. Early diagnosis of this disease is highly imperative as late diagnosis may be fatal. Existing studies employed machine learning approac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1967b45fdab047a158fa18d4b5be02d
https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13669