Data Management Technologies and Applications
Springer International Publishing (Verlag)
978-3-031-68918-5 (ISBN)
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 | 07.09.2024 |
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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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