Machine Learning with Big Linked Data

Jun (Luke) Huan
University of Kansas
Wachman 1015D
Tuesday, April 16, 2013 - 11:00
Graphs are widely used modeling tools that capture objects and their relation (links). Graph modeled data are found in diverse application areas including bioinformatics, cheminformatics, social networks, wireless sensor networks among many others. In this talk we will present our recent work on graph kernel functions and graph similarity search in the context of big data, focusing on scalable algorithmic approaches for graph data.Applications of graph modeling techniques in drug discovery and social network analysis will be touched at the end.