Automatic Visual Recommendation for Data Science and Analytics

  • Manoj Muniswamaiah
  • Tilak AgerwalaEmail author
  • Charles C. TappertEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1130)


Data visualization is used to extract insight from large datasets. Data scientists repeatedly keep generating different visualizations from the datasets for their hypothesis. Analyzing datasets which has many attributes could be a cumbersome process and lead to errors. The goal of this research paper is to automatically recommend interesting visualization patterns using optimized datasets from different databases. It reduces the time spent on low utility visualizations and displays recommended patterns.


Big data Database Analytical query Query optimizer Data science Data visualization Data analyst 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Seidenberg School of CSISPace UniversityWhite Plains, New YorkUSA

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