Machine Learning for a Context Mining Facility

Nourhène Ben Rabah (1) , Manuele Kirsch Pinheiro (1) , Bénédicte Le Grand (1) , Ali Jaffal (1) , Carine Souveyet (1)

1 CRI - Centre de Recherche en Informatique de Paris 1

This paper considers generalizing context reasoning capabilities through a context mining facility offered to all Information System applications. This facility requires mining context data at the system scale, which raises several challenges for Machine Learning approaches used for such mining. Through a detailed literature review, we analyze these approaches with regard to the requirements of such a context mining facility at the Information System level, pointing to the potential and to the challenges raised by this perspective.

Mots clés: context mining; context data; machine learning

Domaines: Informatique ubiquitaire; Machine Learning [stat.ML]

Nourhène Ben Rabah, Manuele Kirsch Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine Souveyet. Machine Learning for a Context Mining Facility. 16th Workshop on Context and Activity Modeling and Recognition, Mar 2020, Austin, United States. pp.678. ⟨hal-02899048⟩