QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques

Alfredo Cuzzocrea, Alfredo Cuzzocrea, Selim Soufargi

2023

Abstract

This paper introduces definitions, requirements, models and techniques of QUALITOP Federated Big Data Analytics Learning System (QFLS), a Cloud-based framework for supporting big healthcare data management and analytics from big data lakes. QFLS anatomy and main functionalities are described, along with the main software solutions proposed with the framework.

Paper Citation

in Harvard Style

Cuzzocrea A. and Soufargi S. (2023). QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 422-428. DOI: 10.5220/0012092700003541

in Bibtex Style

@conference{data23,
author={Alfredo Cuzzocrea and Selim Soufargi},
title={QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={422-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012092700003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques
SN - 978-989-758-664-4
AU - Cuzzocrea A.
AU - Soufargi S.
PY - 2023
SP - 422
EP - 428
DO - 10.5220/0012092700003541
PB - SciTePress