Data Science and Visual Computing

Data Science and Visual Computing by Rae Earnshaw, John Dill, David Kasik.

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...

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Bibliographic Details
Main Authors: Earnshaw, Rae (Author), Dill, John (Author), Kasik, David (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:SpringerBriefs in Advanced Information and Knowledge Processing,
Springer eBook Collection.
Subjects:
Data structures (Computer science).
Computer graphics.
User interfaces (Computer systems).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Data Science
  • Big Data
  • Visual Computing
  • Visualization
  • Geometric Visualization
  • Visual Analytics
  • Data Science Institutes and Data Centers.

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