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A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman, Quazi Mamun, Michael Bewong, Md Zahidul Islam   +3 more
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

CASARS Recommender Systems: A Systematic Review on Methods, Datasets, Limitations, and Future Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
This paper presents the results of a systematic literature review on recommender systems that simultaneously incorporate the context‐aware and session‐aware recommendation paradigms (CASARS). To provide an overview of this specific research area, our review investigated: (1) which techniques have been employed to model contextual preference from the ...
Matheus Henrique Cecilio Leme, Vinicius Sylvestre Simm, Douglas Rorie Tanno, Marcos Aurelio Domingues   +3 more
wiley   +1 more source

Telecom customer churn prediction

, 2020
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a ...

core   +1 more source

Prediction of Customer Behavior Changing via a Hybrid Approach

IEEE Open Journal of the Computer Society
This study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where churn is defined by a fixed period of time, the proposed algorithm uses the probability of ...
Nien-Ting Lee, Hau-Chen Lee, Joseph Hsin, Shih-Hau Fang   +3 more
doaj   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, Volume 31, Issue 4, Page 5038-5065, October 2026.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

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   +2 more sources

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

Evidence Overload in England's Water Resources Management Plans: Model Abundance and the Transparency Failure

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT In England's water sector, statutory Water Resources Management Plans (WRMPs) have become increasingly model‐led and document heavy. While this expansion is intended to strengthen evidence‐based decision‐making, transparency, and accountability, in practice it has contributed to a transparency failure: an evidence base that is formally public ...
Ali Leonard, Anna Murgatroyd, Jaime Amezaga, Richard Blackwell   +3 more
wiley   +1 more source

Microfoundations of Adaptive Decision‐Making Capability: How Chief Supply Chain Officers Convert Technology‐Enabled Visibility Into Coordinated Action

Journal of Business Logistics, Volume 47, Issue 4, October 2026.
ABSTRACT Supply chain leaders increasingly operate with extensive technology‐enabled visibility, yet many firms still struggle to convert shared signals into timely, coordinated action. We frame this tension as the visibility‐to‐action problem in supply chain management (SCM): executives observe more than they can process and often fail to route ...
Sreedhar Madhavaram, Kerry T. Manis, Matthew Belford, Robert Glenn Richey Jr.   +3 more
wiley   +1 more source