Ponente
Descripción
Over the past decade, Big Data has drastically changed the industry and science fields. Nowadays is common the analysis of large high dimensional datasets in order to improve the decission making process. Data visualization is one of the most used methods within data analysis, however, visualization design is a complex process which involves multiple design criteria and raises disagreements among field experts. In order to facilitate the visual analysis of large datasets there have been proposed systems that automatically build and suggest visualizations to data analysts. In this work we presented a proposal for a graphical configurations recommendation system based on machine learning on graphs, the technical aspects of a prototype's implementation are detailed, and the obtained solution is evaluated in an experimental framework.
Keywords: Data Visualization, Recommender Systems, Graphs, Machine Learning, Machine Learning on Graphs
