[HTML][HTML] Database management system performance comparisons: A systematic literature review

T Taipalus - Journal of Systems and Software, 2023 - Elsevier
Efficiency has been a pivotal aspect of the software industry since its inception, as a system
that serves the end-user fast, and the service provider cost-efficiently benefits all parties. A …

An autoscaling platform supporting graph data modelling big data analytics

A Kiourtis, P Karamolegkos… - … and Technology in …, 2022 - ebooks.iospress.nl
Big Data has proved to be vast and complex, without being efficiently manageable through
traditional architectures, whereas data analysis is considered crucial for both technical and …

Interpretable stroke risk prediction using machine learning algorithms

N Zafeiropoulos, A Mavrogiorgou, S Kleftakis… - … : Selected Papers of …, 2023 - Springer
Stroke is the second most common cause of death globally according to the World Health
Organization (WHO). Information Technology (IT), and especially Machine Learning (ML) …

Automated rule-based data cleaning using NLP

K Mavrogiorgos, A Mavrogiorgou… - … 32nd Conference of …, 2022 - ieeexplore.ieee.org
Data Cleaning is a subfield of Data Mining that is thriving in the recent years. Ensuring the
reliability of data, either when generated or received, is of vital importance to provide the …

[HTML][HTML] Everanalyzer: A self-adjustable big data management platform exploiting the Hadoop ecosystem

P Karamolegkos, A Mavrogiorgou, A Kiourtis… - Information, 2023 - mdpi.com
Big Data is a phenomenon that affects today's world, with new data being generated every
second. Today's enterprises face major challenges from the increasingly diverse data, as …

[HTML][HTML] Exploring business intelligence applications in the healthcare industry: A comprehensive analysis

S Ramalingam, M Subramanian, AS Reddy… - Egyptian Informatics …, 2024 - Elsevier
Business intelligence can play a significant role in improving the healthcare industry.
Healthcare organizations generate massive amounts of data, including patient information …

A comparative study of ML algorithms for scenario-agnostic predictions in healthcare

A Mavrogiorgou, S Kleftakis… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
The extraction of useful knowledge from collected data has always been the holy grail for
enterprises and researchers, supporting efficient decision making, provided service's …

A multi-layer approach for data cleaning in the healthcare domain

K Mavrogiorgos, A Kiourtis, A Mavrogiorgou… - Proceedings of the …, 2022 - dl.acm.org
It is an undeniable fact that nowadays there exists a plethora of sources that can generate
data with complex and, most of the time, error-prone nature, as well as multiple origins …

Comprehensive Security for IoT Devices with Kubernetes and Raspberry Pi Cluster

IC Donca, OP Stan, M Misaros, A Stan, L Miclea - Electronics, 2024 - mdpi.com
Environmental monitoring systems have gained prominence across diverse applications,
necessitating the integration of cutting-edge technologies. This article comprehensively …

A Self-Aware Digital Memory Framework Powered by Artificial Intelligence

P Chakraborty, S Bhunia - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
Edge computing devices in Internet-of-Things (IoT) systems are being widely used in diverse
application domains including industrial automation, surveillance, and smart housing. These …