Visual Analytics for Data Scientists

Visual Analytics for Data Scientists

This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced

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Bibliographic Details
Main Authors: Andrienko, Natalia (Author), Andrienko, Gennady (Author), Fuchs, Georg (Author), Slingsby, Aidan (Author), Turkay, Cagatay (Author), Wrobel, Stefan (Author)
Format: Book
Language:English
Published: Cham, Switzerland Springer 2020
Edition:Print Book, English, 2020
Subjects:
Visual analytics
Information visualization
Pattern perception
Artificial intelligence
Data mining
Online Access:Click Here to View Status and Holdings.
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Description
Summary:This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced
Physical Description:xx, 440 pages illustrations 24 cm
Bibliography:Includes bibliographical references and index
ISBN:9783030561451

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