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E-raamat: Data Management Technologies and Applications: 13th International Conference, DATA 2024, Dijon, France, July 9-11, 2024, Revised Selected Papers

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Data Management Technologies and Applications: 13th International Conference, DATA 2024, Dijon, France, July 9-11, 2024, Revised Selected PapersSuurem pilt
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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 911, 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.
.- 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.
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