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Studies in Computational Intelligence

Data Science: New Issues, Challenges and Applications

Editors: Dzemyda, Gintautas, Bernatavičienė, Jolita, Kacprzyk, Janusz (Eds.)

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  • Presents a wide range of selected inspiring and interesting state-of-the-art contributions on Data Science
  • Includes sixteen successful examples of recent advances in the rapidly evolving field of Data Science 
  • Focuses on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, and more
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eBook $119.00
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  • ISBN 978-3-030-39250-5
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Hardcover $159.99
price for USA in USD
  • ISBN 978-3-030-39249-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science.
 Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field.
 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 energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Object Detection in Aerial Photos Using Neural Networks

    Pages 1-16

    Ivanov, Egor S. (et al.)

  • Modelling and Control of Human Response to a Dynamic Virtual 3D Face

    Pages 17-41

    Kaminskas, Vytautas (et al.)

  • Knowledge-Based Transformation Algorithms of UML Dynamic Models Generation from Enterprise Model

    Pages 43-59

    Veitaite, Ilona (et al.)

  • An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data

    Pages 61-82

    Dzemydienė, Dalė (et al.)

  • Non-standard Distances in High Dimensional Raw Data Stream Classification

    Pages 83-96

    Ząbkiewicz, Kamil

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-030-39250-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-030-39249-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Science: New Issues, Challenges and Applications
Editors
  • Gintautas Dzemyda
  • Jolita Bernatavičienė
  • Janusz Kacprzyk
Series Title
Studies in Computational Intelligence
Series Volume
869
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-39250-5
DOI
10.1007/978-3-030-39250-5
Hardcover ISBN
978-3-030-39249-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVIII, 313
Number of Illustrations
67 b/w illustrations, 59 illustrations in colour
Topics