Data Science and Visual Computing

• Κύριοι συγγραφείς: Earnshaw, Rae (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Dill, John (http://id.loc.gov/vocabulary/relators/aut), Kasik, David (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Advanced Information and Knowledge Processing,
• Θέματα: Data structures (Computer science).; Computer graphics.; User interfaces (Computer systems).; Data Storage Representation.; Computer Graphics.; User Interfaces and Human Computer Interaction.

Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities. The range and volume of data sources...

Πίνακας περιεχομένων:

• Data Science
• Big Data
• Visual Computing
• Visualization
• Geometric Visualization
• Visual Analytics
• Data Science Institutes and Data Centers.