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Data Management Technologies and Applications: 12th International Conference, DATA 2023, Rome, Italy, July 1113, 2023, Revised Selected Papers 2024 ed. [Paperback / softback]

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  • Format: Paperback / softback, 141 pages, height x width: 235x155 mm, 28 Illustrations, color; 15 Illustrations, black and white; XI, 141 p. 43 illus., 28 illus. in color., 1 Paperback / softback
  • Series: Communications in Computer and Information Science 2105
  • Pub. Date: 07-Sep-2024
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3031689186
  • ISBN-13: 9783031689185
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Data Management Technologies and Applications: 12th International Conference, DATA 2023, Rome, Italy, July 1113, 2023, Revised Selected Papers 2024 ed.Larger Image
  • Format: Paperback / softback, 141 pages, height x width: 235x155 mm, 28 Illustrations, color; 15 Illustrations, black and white; XI, 141 p. 43 illus., 28 illus. in color., 1 Paperback / softback
  • Series: Communications in Computer and Information Science 2105
  • Pub. Date: 07-Sep-2024
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3031689186
  • ISBN-13: 9783031689185
Other books in subject:
Permanent link: https://www.kriso.ee/db/9783031689185.html
Keywords:
This book constitutes the proceedings of the 12th International Conference on Data Management Technologies and Applications, DATA 2023 , held in Rome,Italy during July 1113, 2023, Proceedings.





The 6 full paper  were carefully reviewed and selected from 106 submissions. The papers are organized in subject areas as follows: Big Data Applications, Data Analytics, Data Science, NoSQL Databases, Social Data Analytics, Dimensional Modelling, Deep Learning and Big Data, Decision Support Systems, Data Warehouse Management and Data Management for Analytics.
.- Balancing the Virtual World: Exploring the Efficacy of a Virtual
Layer in Mitigating Cyber Sickness.



.- Temporal and Flexible Data Warehouses.



.- Data Science for the Promotion of Sustainability in Smart Water
Distribution Systems.



.- Disaster Tweet Classification Using Fine-tuned Deep Learning Models versus
Zero and Few-Shot Large Language Models.



.- Statistical Hypothesis Testing and Modelling of Peoples Power: A Causal
Study of the #BlackLivesMatter Movement via Hawkes   Processes on Social and
Mass Media.



.- A Survival Analysis Approach to Predicting Severe Leukopenia in Advanced
Breast Cancer Patients.