Abstract: Data fusion is used to integrate features from heterogeneous data sources into a consistent and accurate representation for certain learning tasks. As an effective technique for data fusion, ...

Cluster analysis can be used on symptom and behavior data to identify groups of similar individuals who may share underlying disease etiology or health risks. However, there are few clustering methods ...

1 Demography Centre, UCLouvain, Louvain-la-Neuve, Belgium. 2 Freudenthal Institute, Utrecht University, Utrecht, Netherlands. The objectives of this paper are to examine to what extent Big Data are ...

Abstract: Graph convolutional network (GCN) outputs powerful representation by considering the structure information of the data to conduct representation learning, but its robustness is sensitive to ...

It is an important task for planners and decision makers to determine whether a certain region is urban or rural since the accurate identification of these areas is of considerable significance to ...