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Listar por autor "Osorio Muñoz, Celia"

Mostrando ítems 1-5 de 5

Applying Machine Learning in Marketing: An Analysis Using the NMF and k-Means Algorithms

Gallego Hidalgo, Víctor; Lingan, Jessica; Freixes, Alfons; Juan, Angel A.; Osorio-Muñoz, Celia (MDPI AG, 2024-07)

[EN] The integration of machine learning (ML) techniques into marketing strategies has become increasingly relevant in modern business. Utilizing scientific manuscripts indexed in the Scopus database, this article explores ...
Balancing Risk and Profit: Predicting the Performance of Potential New Customers in the Insurance Industry

Soriano-González, Raquel; Tsertsvadze, Verónika; Osorio-Muñoz, Celia; Fuster-Coma, Noelia; Juan, Angel A.; Pérez Bernabeu, Elena (MDPI AG, 2024-09-06)

[EN] In the financial sector, insurance companies generate large volumes of data, including policy transactions, customer interactions, and risk assessments. These historical data on established customers provide opportunities ...
Enhancing Accessibility to Analytics Courses in Higher Education through AI, Simulation, and e-Collaborative Tools

Osorio-Muñoz, Celia; Fuster-Coma, Noelia; Wenwen, Chen; Yangchongyi, Men; Juan, Angel A. (MDPI AG, 2024-08)

[EN] This paper explores how the combination of artificial intelligence, simulation, and e-collaborative (AISEC) tools can support accessibility in analytics courses within higher education. In the era of online and blended ...
Machine Learning Tools for Customer Segmentation in Insurance

Osorio Muñoz, Celia (Universitat Politècnica de València, 2024-09-03)

[ES] Esta tesis explora el uso de herramientas de aprendizaje automático para optimizar las estrategias de segmentación de clientes en el sector de los seguros. La segmentación de clientes es un componente crítico del ...
Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics

Juan, Angel A.; Ammouriova, Majsa; Tsertsvadze, Verónika; Osorio, Celia; Fuster, Noelia; Ahsini, Yusef (MDPI AG, 2023-10)

[EN] With the increasing demand for sustainable urban development, smart cities have emerged as a promising solution for optimizing energy usage, reducing emissions, and enhancing the quality of life for citizens. In this ...