Search Results - subject:"Data mining."

Data-driven circularity in the aerospace sector : a research perspective on cognitive MRO and generative design

Keivanpour, Samira - 2026

Persistent link: https://www.econbiz.de/10015613597

Adaptive credit card fraud detection : reinforcement learning agents vs. anomaly detection techniques

Mekhlouf, Houda Ben; Moussaid, Abdellatif; Ghanimi, Fadoua - In: FinTech 5 (2026) 1, pp. 1-17

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

Persistent link: https://www.econbiz.de/10015628709

Measuring economic outlook in the news

Beck, Elliot; Eckert, Franziska; Kühne, Linus; … - 2026

Persistent link: https://www.econbiz.de/10015615555

Economic instability and its effect on brand preferences : big data examination of self-image and online shopping conduct

Johnson, Nuraeni Saripudin; Purwanegara, Mustika Sufiati; … - In: Business, mangagement and economics engineering : BMEE 24 (2026) 1, pp. 79-103

Purpose - This study will examine how consumer brand preference is impacted by economic instability in the market of e-commerce in Indonesia, the relationship between self-image and purchasing patterns under three different periods; pre-crisis (2017-2019), crisis (2020-2022), and post-crisis...

Persistent link: https://www.econbiz.de/10015644381

An integrated bibliometric analysis of Benefit of the Doubt composite indicators for policy and decision analysis

Nepomuceno, Thyago; Barbosa, Flávia; Vilarinho, Hermilio; … - In: Decision analytics journal 18 (2026), pp. 1-20

The Benefit of the Doubt (BoD) is a non-parametric frontier model derived from Data Envelopment Analysis (DEA), used to construct composite indicators in various sectors of economic activity, with a particular focus on macroeconomic assessments. Based on documents published in the Web of Science...

Persistent link: https://www.econbiz.de/10015652278

An integrated resampling and machine learning framework for predictive analytics of large wildfires

Camacho, Luís; Catry, Filipe X.; Bacao, Fernando - In: Decision analytics journal 18 (2026), pp. 1-9

Accurately predicting the final burned area of wildfires at the moment of ignition is a challenging problem with important implications for disaster management and resource allocation. In this study, we apply recently developed resampling techniques, combined with machine learning algorithms, to...

Persistent link: https://www.econbiz.de/10015652281

Data mining for the adjustment of credit scoring models in solidarity economy entities : a methodology for addressing class imbalances

Bermudez Vera, Ivan Mauricio; Restrepo, Jaime Mosquera; … - In: Risks : open access journal 13 (2025) 2, pp. 1-16

. Data mining techniques are applied to address class imbalances, redefining the term "default" to include external credit …

Persistent link: https://www.econbiz.de/10015333680

Modeling a sustainable decision support system for banking environments using rough sets : a case study of the Egyptian Arab Land Bank

Elnagar, Mohamed A.; Aty, Jaber Abdel; Elhady, … - In: International Journal of Financial Studies : open … 13 (2025) 1, pp. 1-24

, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from … the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka … total units) as having the highest marketing potential. This study highlights data mining's role in enhancing marketing for …

Persistent link: https://www.econbiz.de/10015338327

Integration of data analytics and data mining for machine failure mitigation and decision support in metal-mechanical industry

Araújo, Sidnei Alves de; Bomfim, Silas Luiz; … - In: Logistics 9 (2025) 3, pp. 1-16

data mining methods to proactively predict and mitigate such failures. This study aims to develop and validate a … comprehensive framework combining data analytics and data mining to prevent machine failures and support decision-making in a metal …

Persistent link: https://www.econbiz.de/10015492745

Triadic concept analysis for insights extraction from longitudinal studies in health

Santos, João Pedro; Silva, Atílio Ferreira; Mendes, … - In: Data science and management : DSM 8 (2025) 2, pp. 160-173

In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as a valuable source of information and insights, particularly when examining the temporal aspect,...

Persistent link: https://www.econbiz.de/10015455582