Exploratory Study for Data Visualization in Internet of Things
Mohamad Yuzrie Khalid, Patrick Then, Valliappan Raman · 2018
Data scientists often time had to spend more time and effort to resolve common problems such as over-plotting when visualizing IoT/big data. This research will focus on the exploratory study on visualization on IoT data, its issues, related works and feasibility of building a general framework for data visualization in IoT data. This paper contains literature reviews to proceed for the development of the framework. Although this paper does not present any results, it gives an overview of what has been done so far in regards to IoT data visualization and application of deep learning in this research area. This paper will highlight the challenges of IoT data visualization, Visual Analytics (VA), its misconception and use cases and where deep/machine learning can be applied in VA and lastly, Decanter AI and how it motivates the development of a general data visualization framework. Further discussions include evidence of the research gap, the need for a general framework and how a future work may be done.