To remove or not remove Mobile Apps? A data-driven predictive model approach. (arXiv:2206.03905v1 [cs.CR])

Mobile app stores are the key distributors of mobile applications. They
regularly apply vetting processes to the deployed apps. Yet, some of these
vetting processes might be inadequate or applied late. The late removal of
applications might have unpleasant consequences for developers and users alike.
Thus, in this work we propose a data-driven predictive approach that determines
whether the respective app will be removed or accepted. It also indicates the
features' relevance that help the stakeholders in the interpretation. In …

apps data mobile mobile apps