國立高雄大學圖資館 |

Language: English

Back

Data visualizationtrends and challen...

Anouncia, S. Margret.

Data visualizationtrends and challenges toward multidisciplinary perception /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data visualizationedited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu.
Reminder of title:	trends and challenges toward multidisciplinary perception /
other author:	Anouncia, S. Margret.
Published:	Singapore :Springer Singapore :2020.
Description:	xii, 179 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Information visualization.
Online resource:	https://doi.org/10.1007/978-981-15-2282-6
ISBN:	9789811522826$q(electronic bk.)

Data visualizationtrends and challenges toward multidisciplinary perception /
Data visualizationtrends 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$q(electronic bk.)

Standard No.: 10.1007/978-981-15-2282-6doiSubjects--Topical Terms:

248886
Information visualization.

LC Class. No.: QA76.9.I52 / D37 2020

Dewey Class. No.: 001.4226

Data visualizationtrends and challenges toward multidisciplinary perception /
LDR:01873nmm a2200325 a 4500 001 592795
003 DE-He213
005 20200701201306.0
006 m d
007 cr nn 008maaau
008 210727s2020 si s 0 eng d
020 $a 9789811522826$q(electronic bk.)
020 $a 9789811522819$q(paper)
024 7 $a 10.1007/978-981-15-2282-6 $2 doi
035 $a 978-981-15-2282-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.I52 $b D37 2020
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 001.4226 $2 23
090 $a QA76.9.I52 $b D232 2020
245 0 0 $a Data visualization $h [electronic resource] : $b trends and challenges toward multidisciplinary perception / $c edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xii, 179 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Information visualization. $3 248886
650 1 4 $a Big Data. $3 760530
650 2 4 $a Data Structures. $3 273992
650 2 4 $a Systems and Data Security. $3 274481
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 275283
700 1 $a Anouncia, S. Margret. $3 884031
700 1 $a Gohel, Hardik A. $3 884032
700 1 $a Vairamuthu, Subbiah. $3 884033
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-2282-6
950 $a Computer Science (SpringerNature-11645)