Title: Machine Learning and the Location Component
Abstract: In this talk, I will present the research group GEOTEC, focused on GIS, together with explaining, in detail, some of their projects, which are based on the location component and how we used it in different Machine Learning developments. Finally, some interesting aspects about Data Visualization, a subject in our Master Erasmus Mundus of Science in Geospatial Technologies [1], will be also presented.
About the projects, we will be focused on two of them. First, a solution to navigate in high polluted cities will be explained [2], which considers sensors, interpolate surfaces, and solve the typical routing problem of going from point A to point B, but in this case, minimizing the exposure to areas with high pollution. After that, I will try to answer the question: does the weather influence the results in soccer matches? [3]. In this case, we will apply some Machine Learning methods to a dataset that include historical weather conditions in different cities of Spain combined to soccer results.
