SCHMUTZ , Amandine

D'après une étude du cabinet Gartner datant de 2017, 8.3 milliard d'objets connectés seront vendus dans le monde en 2017 et 20.5 milliards d'ici 2020. L'essor des objets connectés pour accompagner notre quotidien facilite la collecte de données à haute fréquence. Ce type de données peut être classé dans la catégorie des données fonctionnelles :...

Nowadays, air pollution is a major treat for public health, with clear links with many diseases, especially cardiovascular ones. The spatio-temporal study of pollution is of great interest for governments and local authorities when deciding for public alerts or new city policies against pollution raise. The aim of this work is to study...

With the emergence of numerical sensors in many aspects of every- day life, there is an increasing need in analyzing multivariate functional data. This work focuses on the clustering of such functional data, in order to ease their modeling and understanding. To this end, a novel clustering technique for multivariate functional data is...

The exponential growth of smart devices in all aspect of everyday life, leads to the collection of high frequency data for a same individual. Those devices also ease the collection of several variables simultaneously for an individual, which results in growing needs of methods to summarise and read such multivariate functional data. This work...

The exponential growth of smart devices in all aspects of everyday life leads to make common the collection of high frequency data. Those data can be seen as multivariate functional data: quantitative entities evolving along time, for which there is a growing needs of methods to summarize and understand them. The database that have motivated...