[HTML][HTML] Systematic review of data-centric approaches in artificial intelligence and machine learning

P Singh - Data Science and Management, 2023 - Elsevier
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

[HTML][HTML] Big data quality dimensions: a systematic literature review

A Ramasamy, S Chowdhury - JISTEM-Journal of Information Systems …, 2020 - SciELO Brasil
Although big data has become an integral part of businesses and society, there is still
concern about the quality aspects of big data. Past research has focused on identifying …

[HTML][HTML] Improvement of an online education model with the integration of machine learning and data analysis in an LMS

W Villegas-Ch, M Román-Cañizares… - Applied Sciences, 2020 - mdpi.com
The events that took place in the year 2020 have shown us that society is still fragile and that
it is exposed to events that rapidly change the paradigms that govern it. This has been …

Big data quality: A survey

I Taleb, MA Serhani, R Dssouli - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
With the advances in communication technologies and the high amount of data generated,
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …

[HTML][HTML] Big data quality framework: a holistic approach to continuous quality management

I Taleb, MA Serhani, C Bouhaddioui, R Dssouli - Journal of Big Data, 2021 - Springer
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …

Big data augmentation with data warehouse: A survey

U Aftab, GF Siddiqui - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
With dynamic changes in world's technology, an increasing growth and adoption observed
in the usage of social media, computer networks, internet of things, and cloud computing …

Data quality in the era of big data: a global review

W Elouataoui, IE Alaoui, Y Gahi - Big Data Intelligence for Smart …, 2022 - Springer
Abstract Currently, Big Data is gaining wide adoption in the digital world as a new
technology able to manage and support the explosive growth of data. Indeed, data is …

Transforming Cybersecurity into Critical Energy Infrastructure: A Study on the Effectiveness of Artificial Intelligence

J Govea, W Gaibor-Naranjo, W Villegas-Ch - Systems, 2024 - mdpi.com
This work explores the integration and effectiveness of artificial intelligence in improving the
security of critical energy infrastructure, highlighting its potential to transform cybersecurity …

Management of educative data in university students with the use of big data techniques

W Villegas-Ch, X Palacios-Pacheco, I Ortiz-Garcés… - 2019 - rua.ua.es
The large volumes of data that exist in the universities keep important information of each
student. Analyzing this data represents a challenge for data scientists due to the number of …

Personalization of Learning: Machine Learning Models for Adapting Educational Content to Individual Learning Styles

W Villegas-Ch, J García-Ortiz, S Sánchez-Viteri - IEEE Access, 2024 - ieeexplore.ieee.org
Given the inherent diversity in learning styles and rhythms, the current educational
landscape demands continuous adaptation toward methodologies that enhance …