Data Management Technologies and Applications
Editat de Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocreaen Limba Engleză Paperback – 7 sep 2024
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.
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Specificații
ISBN-13: 9783031689185
ISBN-10: 3031689186
Pagini: 156
Ilustrații: X, 155 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031689186
Pagini: 156
Ilustrații: X, 155 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
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Cuprins
.- 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.
.- 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.