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Data Management Technologies and Applications: 13th International Conference, DATA 2024, Dijon, France, July 911, 2024, Revised Selected Papers [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3032179149
  • ISBN-10:  3032179149
  • ISBN-13:  9783032179142
  • ISBN-13:  9783032179142
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3032179149-11-MPOD
  • SKU:  3032179149-11-MPOD
  • Pages:  314
  • Pages:  314
  • Item ID: 107180651
  • Seller: ShopSpell
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  • Transit time: Up to 5 business days
  • Delivery by: Oct 12 to Oct 14
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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.

.- 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 QulãQ

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