A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …
continuously evolve, leading to increased customer churn. Effectively anticipating and …
Weibull recurrent neural networks for failure prognosis using histogram data
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 …
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
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 …
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 …
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
Purpose Radical surgery is the most important treatment modality in gastric cancer.
Preoperative or postoperative radiation therapy (RT) and perioperative chemotherapy are …
Preoperative or postoperative radiation therapy (RT) and perioperative chemotherapy are …
Deep learning for customer churn prediction in e-commerce decision support
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 …
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 …
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
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 …
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 …
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 …
organizations since customers are the precious asset of the business sector. It is a vital task …