Results 61 to 70 of about 2,167,087 (189)

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

Identifying customers likely to churn [PDF]

, 2008
As acquiring new customers is costly, it seems logical to keep and satisfy long-time customers rather than to acquire new customers. To reduce churn rates, firms should manage customers proactively to avoid losing churned customers.
Jarvis, W., Zorn, S., Bellman, S.
core  

Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm

, 2023
Customer churn has become a big problem for telecommunication companies. Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one
Muid, Abdul, Mohamad, Effendi, Larasati, Aisyah, Ramadhanti,, Darin   +3 more
core   +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

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   +3 more sources

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

An Intelligent Customer Churn Prediction and Response Framework

, 2023
Customer retention is one of the most important issues for companies. Companies always seek to reduce customer churn in order to increase the customer lifetime value and reduce the cost of acquisition of new customers.
Tsai, TY, Prasad, M, Lin, CT
core   +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

CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction

Journal of Big Data
Class 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, Paweena Wanchai   +1 more
doaj   +1 more source

Enhancing customer churn prediction in telecom services through segmentation [PDF]

PeerJ Computer Science
Retaining existing subscribers is critical for maintaining profitability in the telecom sector, where acquiring new customers is considerably more expensive than retaining current ones. However, achieving accurate churn prediction remains challenging due
Sagar Shawrikar, Seyed Ebrahim Hosseini, Julien Moussa H. Barakat, Shahbaz Pervez, Muhammad Nadeem, Muhammad Javed Iqbal   +5 more
doaj   +2 more sources