Results 51 to 60 of about 17,519 (197)

FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making

Applied Sciences
Customer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy.
Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta   +3 more
doaj   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
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, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

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

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

Customer churn prediction in telecom sector using machine learning techniques

Results in Control and Optimization
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh, Aishwarya A. Andhale, Kishor S. Wagh, Jayshree R. Pansare, Sarita P. Ambadekar, S.H. Gawande   +5 more
doaj   +1 more source

Analisis Pengaruh Metode Combine Sampling Dalam Churn Prediction Untuk Perusahaan Telekomunikasi [PDF]

, 2010
Churn prediction pada pelanggan telekomunikasi merupakan upaya memprediksi/mengklasifikasi pelanggan jasa telekomunikasi yang berhenti atau berpindah berlangganan dari suatu operator ke operator yang lain.
Baizal, Z. A. (ZK), Bijaksana, M. A. (Moch), Sastrawan, A. S. (Angelina)   +2 more
core  

Churn Prediction for Mobile Prepaid Subscribers

Proceedings of the 6th International Conference on Data Science, Technology and Applications, 2017
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Can, Zehra, Albey, Erinç
openaire   +2 more sources

Change and Continuity in British Politics: Can the Starmer Government's Approach to Governance Resolve the Crisis in the British State without Radical Reform?

The Political Quarterly, Volume 96, Issue 1, Page 140-148, January/March 2025.
Abstract In this article, the key dilemmas that will confront the new Labour administration in Britain during its initial period in power are examined. The Starmer government is seeking to use the state pragmatically to improve British economic performance, stem the crisis in public services and strengthen the strategic capacity of Whitehall.
Patrick Diamond, David Richards, Sam Warner   +2 more
wiley   +1 more source

Defining and measuring homicide rates for birth cohorts: Methodological and theoretical challenges and solutions

Criminology, EarlyView.
Abstract Social scientists have long been interested in understanding how age, period, and cohort effects shape long‐term homicide trends. Yet fundamental measurement challenges remain pervasive in estimating age‐specific homicide rates for birth cohorts.
Jason Robey, Matt Vogel
wiley   +1 more source

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

Information
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim   +4 more
doaj   +1 more source