Visualization for drawing smart insights from Multi-Feature BigData Dataset
Publication Date: 2014-May-23
The IP.com Prior Art Database
Progressively with the enhancements in Big Data technologies, the feature sets in a given dataset from which insights need to be derived are becoming extensively huge. With such enhancements, most of the visualizations made for conventional/ non - Big Data datasets are losing their potency in delivering optimal value insights easily from the enhanced features in these datasets. The article deals with newer visualization forms and techniques that can be used to extract smart insights from a multi-feature Big Data dataset. The current scope of the article is limited to enhancing the number of distinct continuous and/ or nominal features associated with the visualization of a conventional bubble/ scatter plot.