Classification and Clustering in Large Complex Networks
published: June 14, 2011, recorded: June 2011, views: 1147
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Data represented as graphs with complex structures are ubiquitous nowadays. Examples include technological networks (e.g., the Internet), informational networks (e.g., the World-Wide Web), social networks (e.g., Facebook's friendship graph), and biological networks (e.g., protein interactions). In this talk, I will present algorithms for both relational classification and clustering in such networked data. I will pay special attention to issues surrounding scalability, sparsity of labels, various levels of relational dependency, and performance consistency across assorted domains.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !