Manuel Mendoza

Multi-label classification for the area identification field

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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

Location tracking project

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Android application for location tracking and storage in MongoDB Atlas. For this project, an Android app was developed as a persistent service to acquire the user’s location and then store it in a non-relational database: MongoDB. MongoDB Atlas is used along with MongoDB Realm to synchronize the local database generated during the application use with … Read more

Survey on mobility data. A supervised classification approach for area identification

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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

Milan mobility project

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In this project we made 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 data offers a powerful tool … Read more