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Data visualization = trends and chal...
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Anouncia, S. Margret.
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Data visualization = trends and challenges toward multidisciplinary perception /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data visualization/ edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu.
其他題名:
trends and challenges toward multidisciplinary perception /
其他作者:
Anouncia, S. Margret.
出版者:
Singapore :Springer Singapore : : 2020.,
面頁冊數:
xii, 179 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Information visualization. -
電子資源:
https://doi.org/10.1007/978-981-15-2282-6
ISBN:
9789811522826
Data visualization = trends and challenges toward multidisciplinary perception /
Data visualization
trends and challenges toward multidisciplinary perception /[electronic resource] :edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu. - Singapore :Springer Singapore :2020. - xii, 179 p. :ill., digital ;24 cm.
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.
ISBN: 9789811522826
Standard No.: 10.1007/978-981-15-2282-6doiSubjects--Topical Terms:
615673
Information visualization.
LC Class. No.: QA76.9.I52 / D37 2020
Dewey Class. No.: 001.4226
Data visualization = trends and challenges toward multidisciplinary perception /
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