Cuzzocrea / Hammoudi / Benkhelifa Data Management Technologies and Applications

13th International Conference, DATA 2024, Dijon, France, July 9–11, 2024, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-3-032-17915-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 314 Seiten

Reihe: Computer Science

This book constitutes the post publication proceedings of selected papers from the 13th International Conference on Data Management Technologies and Applications, DATA 2024, held in Dijon, France, during July 9–11, 2024.

The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 97 submissions. The focus on relevant trends in current research on Data Science, Technology and Applications, including Data Science, Data Analytics, Data Mining, Deep Learning, Data Modeling and Visualization, Business Intelligence, Predictive Modelling, Big Data, Search and Mining Algorithms over Big Data, Data Representation and Management for Data Analytics, Information Visualization, and Open Data.

Zielgruppe

Research

Autoren/Hrsg.

Cuzzocrea, Alfredo

Hammoudi, Slimane

Benkhelifa, Elhadj

Gusikhin, Oleg

Inhaltsverzeichnis

.- Adaptive Online Learning Framework for Optimizing Ballast Water Management Systems in Maritime Environmental Protection.
.- Anomaly Detection in Industry 4.0: A Comparative Study of Supervised and Semi-Supervised Approaches with OPC-UA.
.- Predictions of Hotel Dynamic Pricing for Revenue Management System.
.- A Community-Driven, Quantum-Enhanced Open-Source Infrastructure for Sustainable Opioid Use Disorder Detection.
.- Intelligent Sampling System for Connected Vehicle Feature Analytics.
.- Malaria in India: An Exploratory Study Using Climatic and Environmental Factors.
.- Proposing a Four-Component Model for Analysing Political Communication over Social Media: Case Study on Stakeholder Strategies in the Russo-Ukrainian War.
.- Clustering Analysis to Determine the Optimizing Potentials in Drivetrain Consumption with SHAP Analysis.
.- Longitudinal Analysis of Impact of Gender on Engagement and Performance in Higher Education.
.- Detecting Hate Speech in Brazilian Portuguese: A Comparative Analysis of Deep Learning Approaches.
.- A Quality-Centric Mapping Study of Machine Learning Classification Techniques in Cardiology: Key Trends, Datasets, and Performance Improvements.
.- Detecting Streaks in Smart Telescopes Images with Deep Learning.
.- Analysis of Auto Insurance Loss Metrics During Pre-and Post COVID-19 Pandemic Using Spatial and Spatial-temporal Modelling Approaches.
.- Technological Agency in Ontology Visualization: Examining the Role of Tools in Knowledge Production and Representation.
.- The Impact of Review Papers on the Trend of Publications in Artificial Intelligence.