|
|
|
|
|
Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
With the recent advances in machine learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies? bankruptcy. However, time series have received little attention in the literature, w...
ver más
|
|
|
|
|
|
|
|
|
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
ver más
|
|
|
|
|
|
|
|
|
Marcin Michalak, Jacek Baginski, Andrzej Bialas, Artur Kozlowski and Marek Sikora
This paper presents a generic component for Analytic Hierarchy Process (AHP)-based decision support in risk management. The component was originally dedicated to railway transportation issues; however, its generality enabled it to extend its functionalit...
ver más
|
|
|
|
|
|
|
|
|
Meng Li, Jiqiang Liu and Yeping Yang
Data governance is an extremely important protection and management measure throughout the entire life cycle of data. However, there are still data governance issues, such as data security risks, data privacy breaches, and difficulties in data management...
ver más
|
|
|
|
|
|
|
|
|
Nikola Vuksanovic, Dunja Demirovic Bajrami, Marko D. Petrovic, Milan M. Radovanovic, Slavica Malinovic-Milicevic, Adriana Radosavac, Valentina Obradovic and Maja Ergovic Ravancic
Local producers constitute a crucial segment of the local economy, playing a pivotal role in driving rural development and the progress of tourism. Their avenues for showcasing products extend beyond markets, bazaars, or food events, often being integrat...
ver más
|
|
|
|