Results 131 to 140 of about 25,623,750 (294)
Machine Learning and Knowledge ExtractionBackground: Customer churn significantly impacts business revenues. Machine Learning (ML) and Deep Learning (DL) methods are increasingly adopted to predict churn, yet a systematic synthesis of recent advancements is lacking.
Mehdi Imani +3 more
doaj +1 more source
IEEE AccessCustomer churn is a significant concern for firms due to the high cost of acquiring new customers. The expenditure related to developing new consumers surpasses that of customer retention. Customer churn prediction models were given to analyze the impact
Babak Amiri, Seyed Hasan Hosseini
semanticscholar +1 more source
ANALYSIS OF HIERARCHICAL DHTs UNDER CHURN [PDF]
, 2015 In this work, we present a performance analysis of structured peer-to-peer (P2P) networks under churn. Through simulation of Hierarchical Distributed Hash Tables (DHTs), we show the behavior of these systems when highly mobile nodes are prevalent ...
Rocamora, Josyl Mariela B. +1 more
core
Journal of Management Studies, EarlyView.Abstract We theorize how state ownership reweights organizational objectives when political and market conditions shift. Using a mixed‐method, history‐to‐theory design, we examine 160 state‐owned and 132 private Brazilian firms from 1973 to 1993. We argue that two mechanisms – appointment politicization and constituency‐protection salience – alter ...
Paul Ferreira +2 more
wiley +1 more source
Enhancing customer retention in telecom industry with machine learning driven churn prediction
Scientific ReportsCustomer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer ...
Alisha Sikri +3 more
doaj +1 more source
A joint model of cost and churn for the insurance industry
Journal of Risk and Insurance, EarlyView.Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong +4 more
wiley +1 more source
Bank Customer Churn Prediction Using SMOTE: A Comparative Analysis
QeiosIn today's market, customers have a plethora of options available to them when deciding where to invest their money. Consequently, customer churn and engagement have emerged as prominent concerns.
M. A. Hambali, I. Andrew
semanticscholar +1 more source
Metroeconomica, EarlyView.ABSTRACT The paper examines the financial balances of the US economy. Government is the main borrower and households and the foreign sector the main lenders. Business net lending is minimal. The balances and their underlying transactions contradict the loanable funds theory and its “global savings glut” variation.
Michalis Nikiforos, Lance Taylor
wiley +1 more source
Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks
IEEE AccessThis study introduces an innovative churn prediction model that leverages player activity and social interaction data from the massive multiplayer online role-playing game (MMORPG), Blade and Soul.
You-Jung Han, Jihoon Moon, Jiyoung Woo
doaj +1 more source
Customer Churn Analysis and Prediction [PDF]
International Journal of Computer Applications Technology and Research, 2019 Aditya Kulkarni +3 more
openaire +1 more source