Forecasting the future positions of mobile users is a valuable task allowing us to operate
efficiently a myriad of different applications which need this type of information. We propose …

With the prevalence of smartphones and the maturation of indoor positioning techniques,
predicting the movement of a large number of customers in indoor environments has …

Predicting the further whereabouts of a large scale of users in indoor spaces has just been a
hot and challenging issue in recent years due to the ubiquitous emerging of mobile devices …

Left in the wake of cataclysmic change are the knowledge creation and holding structure of
the past. Information knowledge and culture are central to human freedom and human …

With the increasing availability of passive, wearable sensor devices, digital lifelogs can now
be captured for individuals. Lifelogs contain a digital trace of a person's life, and are …

In this paper, we propose a system to collect human behavior in detail with higher-level tags
such as attitude, accompanying-person, expenditure, tasks and so on. The system makes it …

In the era of Big Data, every single user of our hyper-connected world leaves behind a
myriad of digital breadcrumbs while performing her daily activities. It is sufficient to think of a …

In this paper, we propose a more practical method for classifying users and predicting their
locations based upon data generated from their daily routines. Instead of calculating the …

Predictive analytics over mobility data is a domain that has received a lot of attention by the
research community the past few years and encapsulates a wide range of sub-problems …

In this paper, we proposed a new approach of machine learning based method for detecting
game-bots from normal players in MMORPG by inspecting the player's action log data …