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Data Management Technologies and Applications -

Data Management Technologies and Applications

12th International Conference, DATA 2023, Rome, Italy, July 11–13, 2023, Revised Selected Papers
Buch | Softcover
XI, 141 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-68918-5 (ISBN)
CHF 164,75 inkl. MwSt
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This book constitutes the proceedings of the 12th International Conference on Data Management Technologies and Applications, DATA 2023 , held in Rome,Italy during July 11-13, 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.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XI, 141 p. 43 illus., 28 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Schlagworte architectural concepts • Business Analytics • Business Intelligence • data analytics • data fusion • data governance • Data Management and Quality • Data Mining • Data Science • Decision Support Systems • Deep learning • Evolutionary Computing and Optimization • mobile data management • Modeling and Managing Large Data Systems • pattern recognition • Predictive Modelling • Statistics Exploratory Data Analysis • Support Vector Machines • text analytics • Web Analytics
ISBN-10 3-031-68918-6 / 3031689186
ISBN-13 978-3-031-68918-5 / 9783031689185
Zustand Neuware
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