Graph embedding has become a key component of many data mining and analy...
Microblogging platforms such as Twitter are increasingly being used in e...
Clustering is a crucial component of many data mining systems involving ...
We address the problem of tuning word embeddings for specific use cases ...
Collaborative Knowledge Graph platforms allow humans and automated scrip...
We present a novel algorithm to match GPS trajectories onto maps offline...
When searching for information, a human reader first glances over a docu...
Performance of clustering algorithms is evaluated with the help of accur...
Large knowledge bases typically contain data adhering to various schemas...
There is a great diversity of clustering and community detection algorit...
Deep reinforcement learning on Atari games maps pixel directly to action...
We provide an up-to-date view on the knowledge management system Science...