| Autor: |
Hermann Ken Jamnadas, Abm Shawkat Ali, Anal Kumar, Vishal Sharma |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). |
| DOI: |
10.1109/csde48274.2019.9162356 |
| Popis: |
Visualisation is a psychological picture that is like a visual observation. Visualisation methods have the ability to fortify intelligence by giving realistic and intuitive information explore interface. Information visualisation can demonstrate the aftereffects of information investigation in an instinctive way, which has a vital handy noteworthiness. Data visualisation improves individuals’ consciousness of conceptual data by means of supporting through computer intelligently and the visual portrayal of theoretical information. Besides, visualisation changes the data into a visual frame and takes focal points of individuals’ normal capacity that can rapidly recognize visual examples to observe, peruse, segregate and comprehend data. Visualisation gives an incredible way to information examination, however to be practical, visual investigation instruments must support smooth and adaptable utilization of representations at a quick rate. This paper examines a scope of current visualisation perception tools to recognize a few issues in existing procedures and prescribes some legitimate logical solutions for fixing the issue with existing data visualisation tools. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
