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Intelligent Systems Reference Library

Visual Knowledge Discovery and Machine Learning

Authors: Kovalerchuk, Boris

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  • Expands methods of knowledge discovery based on visual means 
  • Generates new lossless visual representations of n-D data in 2-D that fully preserve n-D data with a focus on machine learning/data mining goals, in contrast to a generic visualization without a clearly specified goal
  • Effectively uses human shape perception capabilities in mapping n-D data points into 2-D graphs
  • Identifies n-D data structures such as hyper-tubes, hyperplanes, hyper-spheres, etc. using lossless visual data representations
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eBook $109.00
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  • ISBN 978-3-319-73040-0
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Hardcover $199.99
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  • ISBN 978-3-319-73039-4
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Softcover $139.99
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  • ISBN 978-3-319-89230-6
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About this book

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.

Reviews

“The book is a good suggestion for a data scientist or someone who would like to specialise on GLCs … it provides a helpful introduction along with a wide variety of case studies that help any scientist to familiarise with this method.” (Angeliki Katsenou, Perception, Vol. 47 (12), December, 2018)


Table of contents (13 chapters)

Table of contents (13 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-73040-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-73039-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-319-89230-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Visual Knowledge Discovery and Machine Learning
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
144
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-73040-0
DOI
10.1007/978-3-319-73040-0
Hardcover ISBN
978-3-319-73039-4
Softcover ISBN
978-3-319-89230-6
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXI, 317
Number of Illustrations
11 b/w illustrations, 263 illustrations in colour
Topics

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