Search Results - subject:"predictive analytics"

Design and evaluation of machine learning-based investment strategies in equity funds

Cassiano da Silva, Danillo Guimarães; Romão, Estaner Claro - In: International Journal of Financial Studies : open … 14 (2026) 1, pp. 1-22

This study examines quantitative investment strategies for Brazilian equity funds, integrating traditional financial performance indicators with machine learning techniques to enhance fund selection. The main objective was to construct and validate predictive models for fund selection. The...

Persistent link: https://www.econbiz.de/10015591391

AI-driven personalization in marketing administration : qualitative insights from European professionals

Komodromos, Marcos - In: Administrative Sciences : open access journal 16 (2026) 2, pp. 1-19

This qualitative study employs interpretive phenomenology and Actor-Network Theory (ANT) to examine the evolving role of AI as an agent within European marketing contexts. Drawing on semi-structured interviews with 36 senior executives from the tourism, fintech, professional services, and...

Persistent link: https://www.econbiz.de/10015628416

A machine learning approach to consumer behavior in supermarket analytics

Stylianou, Tasos; Pantelidou, Aikaterina - 2025

The rapid advancement of Big Data technologies has significantly influenced multiple sectors, with the retail industry being a key impact area. This study explores the relationship between Big Data analytics and consumer behavior, focusing on supermarket transaction data to extract macroeconomic...

Persistent link: https://www.econbiz.de/10015506521

A data-driven approach to customer lifetime value prediction using probability and machine learning models

Wong, Albert; Garcia, Andres Viloria; Lim, Yew-Wei - 2025

Customer lifetime value is an important marketing metric and has applications in market segmentation, strategy development, and direct marketing programs, especially when customers are not under contract. In this research, we demonstrate the prediction of the lifetime value of patients in a...

Persistent link: https://www.econbiz.de/10015506532

An interpretable machine learning framework for explaining company valuation

Blanquet, Luís Baltazar; Pereira, Miguel Alves; … - 2025

Valuing private enterprises - particularly early-stage firms - remains a significant challenge due to high variability and frequent overvaluation, often exceeding 50%. These inaccuracies undermine trust in the venture capital (VC) market and complicate investment decision-making. To address...

Persistent link: https://www.econbiz.de/10015506750

An integrated oversampling and noise reduction method for robust predictive analytics

Lee, Jeong-Wook; Jeon, Young Eun; Seo, Jung-In - 2025

Imbalanced data is often encountered in scenarios where rare but critical events occur much less frequently than others, and it is particularly prominent in fields such as disease diagnosis, fraud detection, and risk management. The main problem with imbalanced data is that predictive models...

Persistent link: https://www.econbiz.de/10015506752

An advanced optimization framework for hyperparameter tuning in predictive analytics

Rodan, Ali - 2025

scalable and accurate hyperparameter tuning in CRJ-based predictive analytics. …Exhaustive hyperparameter search techniques such as grid search and random search are widely used in predictive … analytics but become computationally expensive and often suboptimal in high-dimensional or nonlinear settings. This challenge is …

Persistent link: https://www.econbiz.de/10015506753

An analytical framework for optimizing urban rail schedules with energy recovery and sensor integration

Farshad, Hassan - 2025

Urban railway systems are crucial components of sustainable public transportation but face significant operational costs due to energy consumption and maintenance needs. This study develops a novel optimization framework that integrates regenerative braking strategies and Internet of Things...

Persistent link: https://www.econbiz.de/10015506766

An adaptive analytics framework for customer retention through integrative feature optimization and ensemble learning

Syah, Rahmad B. Y.; Elveny, Marischa - 2025

An adaptive analytics workflow is presented for customer churn prediction, combining Principal Component Analysis for dimensionality reduction, a hybrid Modified Particle Swarm Gravitational Search Optimization (MPSO-GSO) for feature selection and hyperparameter tuning, and an ensemble learning...

Persistent link: https://www.econbiz.de/10015506769

An optimal imputation algorithm for reducing bias and errors in missing data handling for AI models

Sebastian, Anu Maria; Peter, David; Sebastian, Rinu Ann - 2025

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

Persistent link: https://www.econbiz.de/10015506770