Results 81 to 90 of about 856,045 (240)

Bagging and boosting classification trees to predict churn. [PDF]

In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core   +3 more sources

Employee turnover prediction and retention policies design: a case study [PDF]

, 2017
This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed.
Perthame, Benoît, Ribes, Edouard, Touahri, Karim   +2 more
core   +2 more sources

Creative Destruction or Just a Reshuffle? Turnover Among Businesses and Jobs in South Africa

South African Journal of Economics, Volume 94, Issue 1, March 2026.
ABSTRACT The concept of creative destruction emphasizes how the turnover of businesses and workers drives innovation, productivity gains and aggregate economic growth, even as individual firms and employees experience disruption. This article leverages administrative tax data for South Africa that measures flows rather than stocks, enabling a dynamic ...
Justin Visagie, Ivan Turok, Andrew Nell
wiley   +1 more source

Managing Consumer Satisfaction Amid Sustainability Policy‐Induced Service Failures: The Role of Replacement Quality and Communication Strategies

Psychology &Marketing, Volume 43, Issue 2, Page 295-311, February 2026.
ABSTRACT This study investigates how consumers respond to service failures caused by mandatory government sustainability policies, which differ from conventional failures in their persistence, uncontrollability, and foreseeability. Across two experimental studies, we examine how consumers respond to sustainability policy‐induced service failures ...
DaEun Park, YongHee Kim
wiley   +1 more source

Customer Churn - Prevention Model – Unsupervised Classification

, 2021
The strategy of any organization is based on the growth of its customer base, and one of 6 its principles is that selling a product to an existing customer is much more profitable than acquiring 7 a new customer. However, this approach has several opportunities for improvement, since it usu- 8 ally has a totally reactive approach, which does not ...
openaire   +2 more sources

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

Journal of Big Data
In the telecom sector, predicting customer churn has increased in importance in recent years. Developing a robust and accurate churn prediction model takes time, but it is crucial.
Shimaa Ouf, Kholoud T. Mahmoud, Manal A. Abdel-Fattah   +2 more
semanticscholar   +1 more source

A century of art dealing in New York. The rise of American art

The Economic History Review, Volume 79, Issue 1, Page 281-311, February 2026.
Abstract We study art trade in New York between 1870 and 1970, analysing returns on investment by the renowned Knoedler gallery to shed light on the evolution of the American art market. A generalist art gallery should allocate investments to equalize expected returns, with differences in effective returns depending on purchase prices, number of traded
Federico Etro, Elena Stepanova
wiley   +1 more source

Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction

AI
The banking industry faces significant challenges, from high customer churn rates to threatening long-term revenue generation. Traditionally, churn models assess service quality using customer satisfaction metrics; however, these subjective variables ...
Tahsien Al-Quraishi, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohammed Sharaf   +4 more
doaj   +1 more source

Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection

Engineering Reports, Volume 8, Issue 1, January 2026.
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi, M. A. Khalifa, Walid El‐Shafai   +2 more
wiley   +1 more source

Customer Churn Prediction for Telecommunication Companies using Machine Learning and Ensemble Methods

Engineering, Technology & Applied Science Research
This study investigates customer churn, which is a challenge in the telecommunications sector. Using a dataset of telecom customer churn, multiple classifiers were employed, including Random Forest, LGBM, XGBoost, Logistic Regression, Decision Trees, and
Muteb Zarraq Alotaibi, Mohd Anul Haq
semanticscholar   +1 more source