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Data Mining for Visualizing Polluted Gases
Abstract
Knowledge discovery from big data is one of the important issues. Big data mining needs many steps, which must be implemented carefully to get accurate results. Visualization is one of the 10 Vs characteristics of big data, and it is the final step in summarizing the results numerically. This article aims to mining the big data recorded by environmental station. These stations are recording the concentrations of pollution gases and meteorological parameters. The 2D and 3D data visualization are used to evaluate the capability of visualization in determining the effect of meteorological parameters on some gases that caused pollution. The results showed the visualization is a very important tool, and visualization can be used in mining big data by simply showing decision makers the pollution gases concentrations graphically. This article recommended using big data visualization periodically as an alarming tool with IoT for monitoring the levels of pollution gases concentration.
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