A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Weibull recurrent neural networks for failure prognosis using histogram data

M Dhada, AK Parlikad, O Steinert… - Neural Computing and …, 2023 - Springer
Weibull time-to-event recurrent neural networks (WTTE-RNN) is a simple and versatile
prognosis algorithm that works by optimising a Weibull survival function using a recurrent …

Prediction of radiation pneumonitis with machine learning in stage III lung cancer: a pilot study

M Yakar, D Etiz, M Metintas, G Ak… - Technology in cancer …, 2021 - journals.sagepub.com
Background: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer
radiotherapy (RT). As risk factors in the development of RP, patient and tumor …

Sentiment analysis for distance education course materials: A machine learning approach

UÖ Osmanoğlu, ON Atak, K Çağlar… - Journal of Educational …, 2020 - dergipark.org.tr
Nowadays many companies and institutions are interested in learning what do people think
and want. Many studies are conducted to answer these questions. That's why, emotions of …

[HTML][HTML] Prediction of survival and recurrence patterns by machine learning in gastric cancer cases undergoing radiation therapy and chemotherapy

M Akcay, D Etiz, O Celik - Advances in radiation oncology, 2020 - Elsevier
Purpose Radical surgery is the most important treatment modality in gastric cancer.
Preoperative or postoperative radiation therapy (RT) and perioperative chemotherapy are …

Deep learning for customer churn prediction in e-commerce decision support

M Pondel, M Wuczyński, W Gryncewicz, Ł Łysik… - Business Information …, 2021 - tib-op.org
Churn prediction is a Big Data domain, one of the most demanding use cases of recent time.
It is also one of the most critical indicators of a healthy and growing business, irrespective of …

A stacking-based data mining solution to customer churn prediction

MJ Shabankareh, MA Shabankareh… - Journal of …, 2022 - Taylor & Francis
In today's competitive world, organizations are in a constant struggle to retain their current
customers while attracting new customers through various methods. Customer churn is a …

Analysis implementation of the ensemble algorithm in predicting customer churn in telco data: A comparative study

RP Sari, F Febriyanto, AC Adi - Informatica, 2023 - informatica.si
Globalization and technological advancements in the telecommunication industry have led
to a significant rise in the number of operators, leading to intense market competition. This …

Customer churn analysis using feature optimization methods and tree-based classifiers

F Ehsani, M Hosseini - Journal of Services Marketing, 2024 - emerald.com
Purpose As internet banking service marketing platforms continue to advance, customers
exhibit distinct behaviors. Given the extensive array of options and minimal barriers to …

Development of churn prediction model using xgboost-telecommunication industry in sri lanka

P Senthan, R Rathnayaka… - … IOT, Electronics and …, 2021 - ieeexplore.ieee.org
Maintaining a customer base at a feasible rate is considered important in most business
organizations since customers are the precious asset of the business sector. It is a vital task …