Data Science - 20th International Conference, ICDATA 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV, USA, July 22-25, 2024, Revised Selected Papers

This book constitutes the proceedings of the 20th International Conference on Data Science, ICDATA 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024.
This proceedings book includes 39 papers selected from a total of 243 submissions. They are organized in topical sections as follows: Artificial intelligence, data science, and neural networks; natural language processing, large language modelc, generative AI; data science, data analytics, and applications; prediction and forecasting and security applications; and poster papers. 
 

Table des matières

Artificial intelligence, data science, and neural networks.- natural language processing, large language modelc, generative AI.- data science, data analytics, and applications.- prediction and forecasting and security applications.- and poster papers.

Détails du produit

• Collaboration: Hamid R. Arabnia (Editeur), R Arabnia (Editeur), Robert Stahlbock (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 17.05.2025
• EAN: 9783031858550
• ISBN: 978-3-0-3185855-0
• Pages: 526
• Dimensions: 155 mm x 29 mm x 235 mm
• Poids: 815 g
• Illustrations: XV, 526 p. 207 illus., 181 illus. in color.
• Thème: Communications in Computer and Information Science
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Informatik, Künstliche Intelligenz, Netzwerksicherheit, Data Science, machine learning, Software Engineering, Artificial Intelligence, Deep Learning, Bildverarbeitung, computer science, Data Privacy, Neural Networks, Reinforcement Learning, Data and Information Security, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Engineering, Natural Language Processing (NLP), Time Series, Topic Modeling, recommender systems, ensemble methods, Optimization Methods, Big data technologies, Large Language Models (LLM), data cleaning, graph-based methods, data science tools, database and datasets, prediction methods