We propose a method to predict a user’s favourite locations in a city, based on his Flickr geotags in other cities. We define a similarity between the geotag distributions of t...
Maarten Clements, Pavel Serdyukov, Arjen P. de Vri...
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
We propose a kernel convolution method to predict similar locations (wormholes) based on human travel behaviour. A scaling parameter can be used to define a set of relevant users t...
Maarten Clements, Pavel Serdyukov, Arjen P. de Vri...