Classification and Clustering in Large Complex Networks

author: Tina Eliassi-Rad, Department of Computer Science, Rutgers, The State University of New Jersey
published: June 14, 2011,   recorded: June 2011,   views: 8111


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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.

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