Automated Visual Assessment From Optical Data Sets To Enhance The Accuracy Of Data Analysis

Document Type : Primary Research paper

Authors

1 Professor, Department of Computer Science and Engineering, Dr.Samuel George Institute of Engineering & Technology, Markapur, Prakasam Dt, Andhra Pradesh, 523316.

2 Associate Professor, Department of Computer Science and Engineering, GIET University, Gunupur, Odisha 765022.

3 Associate Professor, Department of Computer Science and Engineering, AGTIs DACOE, Karad, Satara, Maharashtra-415002.

4 Professor, Department of Computer Science and Engineering, Erode Sengunthar Engineering College,Erode, Tamilnadu- 638057, India

5 Assistant Professor, Department of Computer Science and Engineering, Avanthi Institute of Engineering and Technology, Gunthapally, Abdullahpurmet Mandal-501512, Hyderabad, Telangana.

6 Assistant Professor, Department of Computer Science and Engineering,St.Joseph's College of Engineering, OMR Chennai 600119.

Abstract

Data visualization is a technique for extracting information from massive amounts of data. For their assumption, software engineers constantly generate multiple visualizations from datasets. Evaluating databases with a large number of characteristics may be time-consuming and error-prone. The objective of this study is to use optimal datasets from several sources to automatically propose attractive visualization patterns. It helps you save time by reducing the amount of time you spend on low-value visualizations and displaying suggested pattern.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 2 - Serial Number 2
June 2021
Pages 2068-2074

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