Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques

Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques

This project explores the use of data visualisation techniques to render the outcome of an inference process using graphics, symbolic and schemas in stylised pictograms that supports understanding. The example demonstrated in this paper is a continuation of CRISIS-Expert, an intelligent decision sup...

Full description

Saved in:
Bibliographic Details
Main Authors: Maneerat Rumsamrong, Andrew Chiou
Other Authors: CQUniversity Australia
Format: Conference or Workshop Item
Published: 2022
Subjects:
Computer Science
Decision Sciences
Engineering
Medicine
Social Sciences
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/76693
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.76693
record_format dspace
spelling th-mahidol.766932022-08-04T18:33:06Z Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques Maneerat Rumsamrong Andrew Chiou CQUniversity Australia Mahidol University Computer Science Decision Sciences Engineering Medicine Social Sciences This project explores the use of data visualisation techniques to render the outcome of an inference process using graphics, symbolic and schemas in stylised pictograms that supports understanding. The example demonstrated in this paper is a continuation of CRISIS-Expert, an intelligent decision support system that accepts multiple input of various data types and then generate an outcome which is further rendered into symbols that within reason is, understandable by the end user. 2022-08-04T08:27:51Z 2022-08-04T08:27:51Z 2021-01-01 Conference Paper 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021. (2021) 10.1109/CSDE53843.2021.9718413 2-s2.0-85127894506 https://repository.li.mahidol.ac.th/handle/123456789/76693 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127894506&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Decision Sciences
Engineering
Medicine
Social Sciences
spellingShingle Computer Science
Decision Sciences
Engineering
Medicine
Social Sciences
Maneerat Rumsamrong
Andrew Chiou
Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
description This project explores the use of data visualisation techniques to render the outcome of an inference process using graphics, symbolic and schemas in stylised pictograms that supports understanding. The example demonstrated in this paper is a continuation of CRISIS-Expert, an intelligent decision support system that accepts multiple input of various data types and then generate an outcome which is further rendered into symbols that within reason is, understandable by the end user.
author2 CQUniversity Australia
author_facet CQUniversity Australia
Maneerat Rumsamrong
Andrew Chiou
format Conference or Workshop Item
author Maneerat Rumsamrong
Andrew Chiou
author_sort Maneerat Rumsamrong
title Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
title_short Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
title_full Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
title_fullStr Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
title_full_unstemmed Supporting End User Comprehension in Intelligent Decision Support Systems Using Data Visualisation Techniques
title_sort supporting end user comprehension in intelligent decision support systems using data visualisation techniques
publishDate 2022
url https://repository.li.mahidol.ac.th/handle/123456789/76693
_version_ 1763494623400951808

Similar Items