Data Management Technologies and Applications

Data Management Technologies and Applications portes grátis

Data Management Technologies and Applications

13th International Conference, DATA 2024, Dijon, France, July 9-11, 2024, Revised Selected Papers

Hammoudi, Slimane; Cuzzocrea, Alfredo; Benkhelifa, Elhadj; Gusikhin, Oleg

Springer Nature Switzerland AG

02/2026

314

Mole

Inglês

9783032179142

15 a 20 dias

Descrição não disponível.
.- 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.
Data Science;Data Analytics;Deep Learning;Data Mining;Predictive Modelling;Neural Network Applications;Text Analytics;Machine Learning with Big Data;Statistics Exploratory Data Analysis;Information Retrieval;Data Management for Analytics;Big Data Applications;Decision Support Systems;Business Intelligence;Information Visualization;Pattern Recognition;Data and Information Quality;Hybrid Methods;Semi-Structured and Unstructured Data;Data Modeling and Visualization