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An analytical reasoning framework for visual analytics representation

Analytical Reasoning is the foundation of visual analytics, assisted via interactive and dynamic visualization representation. The main concern of visual analytics is the analytics process itself, it is important to facilitate the human mental space during the analysis process by embedding the analy...

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Main Authors: Ya’acob, Suraya, Mohd. Yusof, Sharida, Wong, Doris Hooi Ten, Megat Zainuddin, Norziha
Format: Conference or Workshop Item
Published: 2021
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/96327/
http://dx.doi.org/10.1007/978-3-030-90235-3_4
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id my.utm.96327
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spelling my.utm.963272022-07-17T07:37:21Z http://eprints.utm.my/id/eprint/96327/ An analytical reasoning framework for visual analytics representation Ya’acob, Suraya Mohd. Yusof, Sharida Wong, Doris Hooi Ten Megat Zainuddin, Norziha QA Mathematics Analytical Reasoning is the foundation of visual analytics, assisted via interactive and dynamic visualization representation. The main concern of visual analytics is the analytics process itself, it is important to facilitate the human mental space during the analysis process by embedding the analytical reasoning in the visual analytics representation. This paper aims to introduce and describe the essential analytical reasoning features within visual analytics representation. The framework describes analytical reasoning features from three parts of visual analytics representation which are higher-level structure, interconnection and lower-level structure. For higher-level structure, we proposed the features of big picture, analytics goal and insights through storytelling to ensure the analytics output becomes knowledge and applicable to facilitate the business decision. For interconnection, the features of trend, pattern and relevancy induce a relationship between higher and lower-level structures. Finally, analytical reasoning features for lower-level structure are quite straightforward which are benchmarking, ranking, decluttering, clueing and filtering. It is hoped that this framework could help to shed some light in terms of understanding analytical reasoning features that can facilitate the business decision. 2021 Conference or Workshop Item PeerReviewed Ya’acob, Suraya and Mohd. Yusof, Sharida and Wong, Doris Hooi Ten and Megat Zainuddin, Norziha (2021) An analytical reasoning framework for visual analytics representation. In: 7th International Conference on Advances in Visual Informatics, IVIC 2021, 23 November 2021 - 25 November 2021, Kajang, Selangor, Malaysia. http://dx.doi.org/10.1007/978-3-030-90235-3_4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Ya’acob, Suraya
Mohd. Yusof, Sharida
Wong, Doris Hooi Ten
Megat Zainuddin, Norziha
An analytical reasoning framework for visual analytics representation
description Analytical Reasoning is the foundation of visual analytics, assisted via interactive and dynamic visualization representation. The main concern of visual analytics is the analytics process itself, it is important to facilitate the human mental space during the analysis process by embedding the analytical reasoning in the visual analytics representation. This paper aims to introduce and describe the essential analytical reasoning features within visual analytics representation. The framework describes analytical reasoning features from three parts of visual analytics representation which are higher-level structure, interconnection and lower-level structure. For higher-level structure, we proposed the features of big picture, analytics goal and insights through storytelling to ensure the analytics output becomes knowledge and applicable to facilitate the business decision. For interconnection, the features of trend, pattern and relevancy induce a relationship between higher and lower-level structures. Finally, analytical reasoning features for lower-level structure are quite straightforward which are benchmarking, ranking, decluttering, clueing and filtering. It is hoped that this framework could help to shed some light in terms of understanding analytical reasoning features that can facilitate the business decision.
format Conference or Workshop Item
author Ya’acob, Suraya
Mohd. Yusof, Sharida
Wong, Doris Hooi Ten
Megat Zainuddin, Norziha
author_facet Ya’acob, Suraya
Mohd. Yusof, Sharida
Wong, Doris Hooi Ten
Megat Zainuddin, Norziha
author_sort Ya’acob, Suraya
title An analytical reasoning framework for visual analytics representation
title_short An analytical reasoning framework for visual analytics representation
title_full An analytical reasoning framework for visual analytics representation
title_fullStr An analytical reasoning framework for visual analytics representation
title_full_unstemmed An analytical reasoning framework for visual analytics representation
title_sort analytical reasoning framework for visual analytics representation
publishDate 2021
url http://eprints.utm.my/id/eprint/96327/
http://dx.doi.org/10.1007/978-3-030-90235-3_4
_version_ 1739828063669059584
score 13.211869

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