Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Abstract. The rational approach to pharmaceutical drug design begins with an investigation of the relationship between chemical structure and biological activity. Information gaine...
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...