Results 61 to 70 of about 1,692 (204)
Prediction of Customer Churn in Banking Industry
CoRR, 2020 With the growing competition in banking industry, banks are required to follow customer retention strategies while they are trying to increase their market share by acquiring new customers. This study compares the performance of six supervised classification techniques to suggest an efficient model to predict customer churn in banking industry, given ...
openaire +2 more sources
British Journal of Educational Technology, Volume 57, Issue 3, Page 674-689, May 2026.Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley +1 more source
Access Control in Healthcare IoT: A Comprehensive Survey
Engineering Reports, Volume 8, Issue 4, April 2026.This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir +3 more
wiley +1 more source
Customer Churn Analysis and Prediction
, 2022 One of the biggest data domain and most demanding use cases of recent time is Customer churn prediction. For a healthy and growing business churn prediction is an important indicator. This project aims to develop a churn prediction for banking sector.
Bristy, Badrun Nahar
core
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
Journal of Big DataClass imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra +1 more
doaj +1 more source
IEEE AccessThe telecommunications sector has experienced exponential growth since the year 2000, reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for telecommunications companies.
David Freire +3 more
doaj +1 more source
Customer Churn Prediction in Computer Security Software [PDF]
, 2019 One of the most valuable assets of any company is its customer; hence it is vital for a company to focus on customer retention strategy by its advantage over customer acquisi- tion. Customer churn prediction is a tool for increasing customer retention by
Dang, Quynh
core
Customer churn prediction using machine learning and customer lifetime value analysis at Eurotel
, 2021 Every CFO should invest in getting to know the organisation’s customers. After all, building long-term and valuable customer relationships is an important driver of value creation.
Stouthuysen, Kristof +4 more
core
Corporate ESG Profiles and Investor Horizons
The Journal of Finance, Volume 81, Issue 2, Page 603-642, April 2026.ABSTRACT We find that long‐term institutional investors tilt their portfolios toward firms with better Environmental, Social, and Governance (ESG) profiles, in the cross sections of both institutional investor portfolios and the ownership of firms. We test whether several theoretically motivated mechanisms can explain this relationship.
LAURA T. STARKS, PARTH VENKAT, QIFEI ZHU
wiley +1 more source