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Data Science: New Issues, Challenges and Applications
Paperback
Series: Studies in Computational Intelligence, Book 869
Technology & EngineeringGeneral Computers
ISBN13: 9783030392529
Publisher: Springer
Published: Feb 14 2021
Pages: 313
Weight: 1.03
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energymanagement, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.
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