Citation

Lim, Jing Yee and Lim, Kian Ming and Ong, Thian Song (2022) Churn Prediction with Machine Learning. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text 19-Poster_Lim.pdf - Submitted Version Restricted to Registered users only Download (335kB)

Abstract

Churn Prediction is used to predict if a particular customer has a high possibility of churn if there is still time to resolve this issue. • It aids businesses in gaining huge revenue potential. • Several machine learning techniques can be carried out to develop churn prediction algorithms.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Machine Learning
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	21 Dec 2022 02:29
Last Modified:	21 Dec 2022 02:29
URII:	http://shdl.mmu.edu.my/id/eprint/10957

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