In the era of mobile Internet, a vast amount of geo-spatial data allows us to gain further
insights into human activities, which is critical for Internet Services Providers (ISP) to provide …

In this paper we present the first population-level, city-scale analysis of application usage on
smartphones. Using deep packet inspection at the network operator level, we obtained a …

With the rapid growth in smartphone usage, it has been more and more important to
understand the patterns of mobile data consumption by users. In this paper, we present an …

Recently, researches on smart phones have received attentions because the wide potential
applications. One of interesting and useful topic is mining and predicting the users' mobile …

Mobile app traffic classification aims to automatically map mobile packets into apps. It has
become an active task in mobile traffic engineering, and numerous algorithms have been …

With the wide adoption of mobile devices, it becomes increasingly important to understand
how users use mobile apps. Knowing when and where certain apps are used is instrumental …

People often resort to map search engine or other locationbased services for location
information when planning long trips or local navigation, and their map queries as well as …

Understanding mobile application usage patterns is significant for producing better services
and enriching user experience. The understanding of spatiotemporal patterns of application …

Smart devices bring us ubiquitous mobile access to the Internet, making it possible to surf
the Internet in mobile environments. With the pervasiveness of mobile Internet, much …

Currently, we live in highly connected environments in which we consume large amounts of
data, such as contextual information, and produce even larger amounts of data. In this never …