Data Visualization : Trends and Challenges Toward Multidisciplinary Perception / edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu.

Format:

Book

Contributor:

Anouncia, S. Margret, editor.

Gohel, Hardik A., editor.

Vairamuthu, Subbiah, editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Big data.

Data structures (Computer science).

Computer security.

Application software.

Big Data.

Data Structures.

Systems and Data Security.

Computer Appl. in Administrative Data Processing.

Local Subjects:

Big Data.

Data Structures.

Systems and Data Security.

Computer Appl. in Administrative Data Processing.

Physical Description:

1 online resource (XII, 179 pages) : 142 illustrations, 126 illustrations in color

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

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. .

Other Format:

Printed edition:

ISBN:

978-981-15-2282-6

9789811522826

Access Restriction:

Restricted for use by site license.