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Data Visualization [electronic resource] : Trends and Challenges Toward Multidisciplinary Perception /

Contributor(s): Material type: TextTextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XII, 179 p. 142 illus., 126 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811522826
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.7 23
LOC classification:
  • QA76.9.B45
Online resources:
Contents:
Narrative and Text Visualization: A Technique to Enhance Teaching Learning Process in Higher Education -- Data visualization and analysis for Internet of Things using IBM Watson IoT Platform.-Comparative Analysis of Tools for Big Data Visualization and Challenges.-Data Visualization Techniques: Traditional Data to Big Data -- Data Visualization: Visualization of Social Media Marketing Analysis Data to Generate Effective Business Revenue Model. .
In: Springer Nature eBookSummary: This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.
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Narrative and Text Visualization: A Technique to Enhance Teaching Learning Process in Higher Education -- Data visualization and analysis for Internet of Things using IBM Watson IoT Platform.-Comparative Analysis of Tools for Big Data Visualization and Challenges.-Data Visualization Techniques: Traditional Data to Big Data -- Data Visualization: Visualization of Social Media Marketing Analysis Data to Generate Effective Business Revenue Model. .

This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

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