Universiti Teknologi Malaysia Institutional Repository

Relationship types in visual analytics

Shabdin, Nur Izzati and Ya'acob, Suraya and Sjarif, Nilam Nur Amir (2020) Relationship types in visual analytics. In: 6th International Conference on Computer and Technology Applications, ICCTA 2020, 14 April 2020 - 16 April 2020, Antalya, Turkey.


Official URL: http://dx.doi.org/10.1145/3397125.3397127


Visual analytics are practically an application of the task of transforming the data into meaningful and reliable information in order to synthesize the knowledge about the data. Recently, organizations collect large data with aim of extracting useful information for organizational usage for better decision making. When the organization have a large and complex information, it leads to more complex relationship between the variables in the data. As a consequence, the visual analytics representation must be able to show, visualize and handle for more complex relationship of data. However, the research found the lack of relationship research in current visual analytics that lead difficulties to guide and design new relationship representation. Thus, this research aim to recognize, discover and categorize relationships types of visual analytics in representing a set of analytical data. Design Science Research Methodology has been used as research method for this study. It consists of two activities which are i). identify the visual analytic relationship context and its challenge and ii). analysis of relationship in visual analytics representation. At the end, this study is expected to identify and categorize the visual analytics representation according to six relationship types. This identification can help the visual analytics community to understand the primary and basic concept of relationship representation as a guidelines and knowledge for more comprehensive research in the future.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:differences, distribution, outliers and reduction
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90421
Deposited By: Yanti Mohd Shah
Deposited On:30 Apr 2021 22:54
Last Modified:30 Apr 2021 22:54

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