Papers

Authors: Manuel Mendoza Hurtado, Domingo Ortiz Boyer Abstract: The identification of significant places using mobility data is an interesting field that benefits from the expansion of mobile technologies usage, which generates enormous amounts of data that have a wide variety of uses. This paper presents a study for different multi-label classification techniques for the area identification … Read more

Authors: Manuel Mendoza Hurtado, Domingo Ortiz Boyer Abstract: This paper presents a comparative study between clustering analysis, which is typically used in mobility scenarios, and supervised classification for the identification of home and work zones of an area. We will use a mobility dataset from the city of Milan to achieve this. Using passive mobile positioning … Read more