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M.V. Judy
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Journal : International Journal of Electrical and Computer Engineering

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Clutter Reduction in Parallel Coordinates using Binning Approach for Improved Visualization Swathy Sunil Kumar; Teenu Krishnan; Sreeja Ashok; M.V. Judy
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 6: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.283 KB) | DOI: 10.11591/ijece.v5i6.pp1564-1568

Abstract

As the data and number of information sources keeps on mounting, the mining of necessary information and their presentation in a human delicate form becomes a great challenge. Visualization helps us to pictorially represent, evaluate and uncover the knowledge from the data under consideration. Data visualization offers its immense opportunity in the fields of trade, banking, finance, insurance, energy etc. With the data explosion in various fields, there is a large importance for visualization techniques. But when the quantity of data becomes elevated, the visualization methods may take away the competency. Parallel coordinates is an eminent and often used method for data visualization. However the efficiency of this method will be abridged if there are large amount of instances in the dataset, thereby making the visualization clumsier and the data retrieval very inefficient. Here we introduced a data summarization approach as a preprocessing step to the existing parallel coordinate method to make the visualization more proficient.
Co-Authors Sreeja Ashok Swathy Sunil Kumar Teenu Krishnan