A review of evaluation metrics in machine learning algorithms
G Naidu, T Zuva, EM Sibanda - Computer Science On-line Conference, 2023 - Springer
With the increase in the adoption rate of machine learning algorithms in multiple sectors, the
need for accurate measurement and assessment is imperative, especially when classifiers …
need for accurate measurement and assessment is imperative, especially when classifiers …
Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis
Scores of researchers have paid attention to empirical and conceptual dimensions of
Customer relationship management (CRM). A few studies summarise the research output of …
Customer relationship management (CRM). A few studies summarise the research output of …
Investigating oversampling techniques for fair machine learning models
S Rančić, S Radovanović, B Delibašić - Decision Support Systems XI …, 2021 - Springer
Applying machine learning in real-world applications may have various implications on
companies, but individuals as well. Besides obtaining lower costs, faster time to decision …
companies, but individuals as well. Besides obtaining lower costs, faster time to decision …
Customer churn prediction in FMCG sector using machine learning applications
SN Günesen, N Şen, N Yıldırım, T Kaya - IFIP International Workshop on …, 2021 - Springer
Non-contractual setting and many brands and alternative products make customer retention
relatively more difficult in the FMCG market. Besides, there is no absolute customer loyalty …
relatively more difficult in the FMCG market. Besides, there is no absolute customer loyalty …
Prediction of Railway Freight Customer Churn Based on Deep Forest
D Liu, X Zhang, Y Shi, H Li - International Conference on Intelligent …, 2021 - Springer
With increasingly fierce competition in other transportation markets, the customer churn in
railway freight becomes a very serious problem. Facing the high similarity and …
railway freight becomes a very serious problem. Facing the high similarity and …
Improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing
S Filippou, A Tsiartas, P Hadjineophytou… - … Conference on Artificial …, 2023 - Springer
Customer experience plays a critical role for a profitable organisation or company. A
satisfied customer for a company corresponds to higher rates of customer retention, and …
satisfied customer for a company corresponds to higher rates of customer retention, and …
Direction of the Difference Between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction
PJ Darwen - Asian Conference on Intelligent Information and …, 2023 - Springer
On a scarce-data customer churn prediction problem, using the tiny differences between the
predictions of (1) the single-best model and (2) the ensemble from Bayesian model …
predictions of (1) the single-best model and (2) the ensemble from Bayesian model …
Comparative Study on Customer Churn Prediction by Using Machine Learning Techniques
S Kumar, D Logofatu - Asian Conference on Intelligent Information and …, 2023 - Springer
Customer churn prediction is crucial for businesses in different industries, such as
telecommunications, banking, insurance and e-commerce, because acquiring new …
telecommunications, banking, insurance and e-commerce, because acquiring new …
Edited Nearest Neighbors with SVM for Customer Churn Prediction in Spark
M Merabet, A Kourtiche - Artificial Intelligence and Heuristics for Smart …, 2022 - Springer
Nowadays, churn prediction is the most common Big Data application in the telecoms
industry, However, the characteristic of unbalanced classes in this kind of application opens …
industry, However, the characteristic of unbalanced classes in this kind of application opens …
Intuitive Feature Engineering and Machine Learning Performance Improvement in the Banking Domain
S Teja, B Chandrashekhar, E Reddy, H Jha… - International Advanced …, 2020 - Springer
Performance tuning of the machine learning models is very important, especially in the
banking domain. In line with the new age, they are moving away from their conventional …
banking domain. In line with the new age, they are moving away from their conventional …