Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review - Responsible Design, Implementation and Use of Information and Communication Technology Access content directly
Conference Papers Year : 2020

Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review

Abstract

The continual growth of big data necessitates efficient ways of analysing these large datasets. Data visualisation and visual analytics has been identified as a key tool in big data analysis because they draw on the human visual and cognitive capabilities to analyse data quickly, intuitively and interactively. However, current visualisation tools and visual analytical systems fall short of providing a seamless user experience and several improvements could be made to current commercially available visualisation tools. By conducting a systematic literature review, requirements of visualisation tools were identified and categorised into six groups: dimensionality reduction, data reduction, scalability and readability, interactivity, fast retrieval of results, and user assistance. The most common themes found in the literature were dimensionality reduction and interactive data exploration.
Fichier principal
Vignette du fichier
492453_1_En_39_Chapter.pdf (436.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03222857 , version 1 (10-05-2021)

Licence

Attribution

Identifiers

Cite

Joy Lowe, Machdel Matthee. Requirements of Data Visualisation Tools to Analyse Big Data: A Structured Literature Review. 19th Conference on e-Business, e-Services and e-Society (I3E), Apr 2020, Skukuza, South Africa. pp.469-480, ⟨10.1007/978-3-030-44999-5_39⟩. ⟨hal-03222857⟩
57 View
30 Download

Altmetric

Share

Gmail Facebook X LinkedIn More