30 citations · 32 across the 3 of their papers we have counts for
4 papers
Wikistat 2.0: Educational Resources for Artificial Intelligence
Philippe Besse, Brendan Guillouet, Béatrice Laurent
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of o…
Big Data analytics. Three use cases with R, Python and Spark
Philippe Besse, Brendan Guillouet, Jean-Michel Loubes
Management and analysis of big data are systematically associated with a data distributed architecture in the Hadoop and now Spark frameworks. This article offers an introduction f…
Destination Prediction by Trajectory Distribution Based Model
Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes +1
In this paper we propose a new method to predict the final destination of vehicle trips based on their initial partial trajectories. We first review how we obtained clustering of t…
Review and Perspective for Distance Based Trajectory Clustering
Philippe Besse, Brendan Guillouet, Jean-Michel Loubes +1
In this paper we tackle the issue of clustering trajectories of geolocalized observations. Using clustering technics based on the choice of a distance between the observations, we…