Date of Presentation
4-20-2018 10:00 AM
College
College of Science & Mathematics
Faculty Sponsor(s)
Bo Sun, Jack Myers
Poster Abstract
Machine learning with big data is a complicated task to tackle. Using data visualizations, one can find trends, anomalies, and patterns to help select the appropriate approach to the problem in machine learning. Using 2D visualizations, we’ve displayed flight data on interactive maps, visualizing density and property changes in an area. We’ve also used frequency histograms to view the quantitative properties of each point to look for trends. Using scatterplots, anomalies in data collection were found. Other plots confirmed previously found trends and initial thoughts about the data. These visualizations helped inform a machine learning approach to our problem and avoided major pitfalls further down the road.
Student Keywords
data visualization, machine learning, data analysis, flight data, Tableau, Datashader
Disciplines
Other Computer Sciences
Document Type
Poster
Included in
Using Data Visualization to Inform Machine Learning Approaches
Machine learning with big data is a complicated task to tackle. Using data visualizations, one can find trends, anomalies, and patterns to help select the appropriate approach to the problem in machine learning. Using 2D visualizations, we’ve displayed flight data on interactive maps, visualizing density and property changes in an area. We’ve also used frequency histograms to view the quantitative properties of each point to look for trends. Using scatterplots, anomalies in data collection were found. Other plots confirmed previously found trends and initial thoughts about the data. These visualizations helped inform a machine learning approach to our problem and avoided major pitfalls further down the road.