Abstract
Many of the network data visualization tools or applications are designed and being applied in network data visualization system which are particularly for users with advanced network knowledge even though the tools are indispensable by diverse computer users. In this paper, we proposed and presented an adaptive statistical analysis learning approach that is able to adapt to the user feedback after viewing the network data visualization, preserving its capabilities of intelligently adjusting the network data visualization screens to diverse levels of computer users. The adaptive system is designed to response in conjunction with the feedback from initial testing which comprises of 200 computer users feedback. We implemented a rule-based decision scenario with automatic feedback to verify that our statistical analysis learning approach can improve the conventional network data visualization system and the display of screens. This short paper proposed a preliminary statistical analysis learning algorithm which is one of the main approaches in network data visualization research.
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