المؤلفون: Bhatia, Anshul^{Aff1, IDs13042022015622_cor1}, Chug, Anuradha, Singh, Amit Prakash, Singh, Dinesh

المصدر: International Journal of Machine Learning and Cybernetics. 14(1):187-212

المؤلفون: Khamis, Nurulaqilla^{Aff1, IDs1011502201727z_cor1}, Selamat, Hazlina, Ismail, Fatimah Sham

المصدر: Knowledge and Information Systems: An International Journal. 64(11):3129-3149

المؤلفون: Amin, A., Anwar, S., Adnan, A., Nawaz, M., Howard, N., Qadir, J., Hawalah, A., Hussain, A.

المصدر: IEEE Access Access, IEEE. 4:7940-7957 2016

المؤلفون: Amin, Adnan^Aff6, Rahim, Faisal^Aff6, Ali, Imtiaz^Aff6, Khan, Changez^Aff6, Anwar, Sajid^Aff6

المساهمون: Kacprzyk, Janusz, Series editor^Aff1, Rocha, Alvaro, editor^Aff2, Correia, Ana Maria, editor^Aff3, Costanzo, Sandra, editor^Aff4, Reis, Luis Paulo, editor^Aff5

المصدر: New Contributions in Information Systems and Technologies : Volume 1. 353:215-225

المؤلفون: Adnan Amin, Sajid Anwar, Awais Adnan, Muhammad Nawaz, Newton Howard, Junaid Qadir, Ahmad Hawalah, Amir Hussain

المصدر: IEEE Access, Vol 4, Pp 7940-7957 (2016)

مصطلحات موضوعية: SMOTE, ADASYN, mega trend diffusion function, class imbalance, rough set, customer churn, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/7707454/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b0201a5a2f8c4d6aa4f5edaa7d9f6d8b

المؤلفون: Newton Howard, Adnan Amin, Amir Hussain, Awais Adnan, Junaid Qadir, Sajid Anwar, Ahmad Hawalah, Muhammad Nawaz

المصدر: IEEE Access, Vol 4, Pp 7940-7957 (2016)

مصطلحات موضوعية: Customer retention, General Computer Science, Computer science, rough set, 02 engineering and technology, computer.software_genre, customer churn, class imbalance, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Oversampling, General Materials Science, SMOTE, SMOTE, ADASYN, mega trend diffusion function, class imbalance, rough set, customer churn, mRMR. ICOTE, MWMOTE, TRkNN, General Engineering, Sampling (statistics), ADASYN, Data set, mega trend diffusion function, Key (cryptography), 020201 artificial intelligence & image processing, Customer satisfaction, lcsh:Electrical engineering. Electronics. Nuclear engineering, Data mining, lcsh:TK1-9971, computer

وصف الملف: PDF; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f61e05a9dce6199a9de639ab18ef970b
https://doi.org/10.1109/access.2016.2619719

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