Results 11 to 20 of about 4,013 (222)

Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction

open access: yesIraqi Journal for Computer Science and Mathematics, 2022
Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye   +3 more
doaj   +1 more source

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation

open access: yesFuture Internet, 2022
Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies.
Tianyuan Zhang   +2 more
doaj   +1 more source

A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector

open access: yesIEEE Access, 2019
In the telecom sector, a huge volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining the existing ones.
Irfan Ullah   +5 more
doaj   +1 more source

Credit card attrition: an overview of machine learning and deep learning techniques

open access: yesИнформатика. Экономика. Управление, 2023
Credit card churn, where customers close their credit card accounts, is a major problem for banks and other financial institutions. Being able to accurately predict churn can allow companies to take proactive steps to retain valuable customers.
Сихао Ван, Болин Чен
doaj   +1 more source

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

open access: yesSN Applied Sciences, 2021
Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
doaj   +1 more source

The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications

open access: yesInformatica, 2022
One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected machine learning methods are applied to the publicly available datasets, partially reproducing the results of ...
Andrej Bugajev   +3 more
openaire   +1 more source

Factors Influence Customer Churn on Internet Service Provider in Indonesia

open access: yesTIJAB (The International Journal of Applied Business), 2022
Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access.
Handi Aulia Triyafebrianda   +1 more
doaj   +1 more source

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

open access: yesHuman-Centric Intelligent Systems, 2022
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
doaj   +1 more source

A COMPARISON OF COX PROPORTIONAL HAZARD AND RANDOM SURVIVAL FOREST MODELS IN PREDICTING CHURN OF THE TELECOMMUNICATION INDUSTRY CUSTOMER

open access: yesBarekeng, 2022
The Cox Proportional hazard model is a popular method to analyze right-censored survival data. This method is efficient to use if the proportional hazard assumption is fulfilled.
Sitti Nurhaliza   +2 more
doaj   +1 more source

The Phenomenon of Policy Churn

open access: yesAdvances in Neural Information Processing Systems 35, 2022
We identify and study the phenomenon of policy churn, that is, the rapid change of the greedy policy in value-based reinforcement learning. Policy churn operates at a surprisingly rapid pace, changing the greedy action in a large fraction of states within a handful of learning updates (in a typical deep RL set-up such as DQN on Atari).
Tom Schaul   +3 more
openaire   +3 more sources

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