Results 201 to 210 of about 899,252 (240)

Customer Churn Prediction by Hybrid Model

2006
In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
openaire   +1 more source

Customer Churn Prediction in B2B Contexts

2019
While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist, Christoph Elsner, Jan Bosch, Helena Holmström Olsson   +3 more
openaire   +1 more source

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

Journal of Services Marketing
Purpose As internet banking service marketing platforms continue to advance, customers exhibit distinct behaviors. Given the extensive array of options and minimal barriers to switching to competitors, the concept of customer churn behavior has emerged ...
Fatemeh Ehsani, Monireh Hosseini
semanticscholar   +1 more source

A Novel Approach to Customer Churn Prediction in Telecom

2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
Customerturnover constitute a remarkable challenge for large companies, particularly in the telecom sector, impacting their revenues. To address this, there’s a need to improve a model predicting potential customer churn.
A. Senthilselvi, V. Kanishk, K. Vineesh, A. Praveen Raj   +3 more
semanticscholar   +1 more source

Machine learning models for predicting customer churn: a case study in a software-as-a-service inventory management company

International Journal of Business Intelligence and Data Mining
: Software-as-a-service (SaaS) is a software-licensing model, which allows access to software on a subscription basis using external servers. This article proposes customer churn prediction models for a SaaS inventory management company in Thailand.
N. Phumchusri, Phongsatorn Amornvetchayakul   +1 more
semanticscholar   +1 more source

Predicting Probability of Customer Churn in Insurance

2016
We focus on a real case of the motor insurance sector. We propose four different methods to predict lapsing from a portfolio of policies. We present a comparative analysis between three different performance measures in order to assess the predictive power of each model. Our comparison analyses the outcomes of a logistic regression, a conditional tree,
Catalina Bolancé, Montserrat Guillen, Alemar E. Padilla-Barreto   +2 more
openaire   +1 more source

Customer churn prediction for retention analysis

Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today's corporate context, understanding and mitigating customer churn has become critical for long-term success.
Rajesh Saturi, Siripothula Rahul, Zuha Siddiqui, Rachamalla Nikhitha   +3 more
openaire   +1 more source

Intelligent Data Analytics using Hybrid Gradient Optimization Algorithm with Machine Learning Model for Customer Churn Prediction

Fusion: Practice and Applications
Intelligent data analytics for customer churn prediction (CCP) harnesses predictive modelling algorithms, machine learning (ML) techniques, and advanced big data analytics and also uncovers the underlying drivers and patterns of churn and detects ...
E. Akhmetshin, N. Fayzullaev, Elena Klochko, D. Shakhov, V. Lobanova   +4 more
semanticscholar   +1 more source

Telecom Customer Churn Prediction Based on BiGRU-Attention-XGBoost Model

2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
The telecoms industry is facing a severe customer churn problem, which significantly impact companies' economic benefits. Therefore, developing an efficient customer churn prediction model for the timely and accurate identification of customers prone to ...
Mengjing Hao
semanticscholar   +1 more source

Bank Customer Churn and Extra Benefits Prediction Using Machine Learning Model

International Conference on Advanced Infocomm Technology
Bank customer churn, which results in lost revenue and decreased customer loyalty, is a major concern for banks. Retention tactics that work and precise churn prediction are crucial for resolving this problem.
Jothi Kumar C, Akkash Anumala, Siva E.P, Bhuvanesh E.S   +3 more
semanticscholar   +1 more source