Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Background: Single Nucleotide Polymorphisms (SNPs) are an increasingly important tool for genetic and biomedical research. Although current genomic databases contain information o...
Many networks under study in Information Visualization are “small world” networks. These networks first appeared in the study social networks and were shown to be relevant mod...
David Auber, Yves Chiricota, Fabien Jourdan, Guy M...
The goal of our work is to help users make more informed choices about what physical activities they undertake. One example is to provide relevant information to help someone choo...
Adrienne H. Andrew, Yaw Anokwa, Karl Koscher, Jona...