Inside the Atoms: Mining a Network of Networks and Beyond
published: Oct. 12, 2016, recorded: August 2016, views: 1357
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.
Networks (i.e., graphs) appears in many high-impact applications. Often these networks are collected from different sources, at different times, at different granularities. In this talk, I will present our recent work on mining such multiple networks. First, we will present two models - one on modeling a set of inter-connected networks (NoN); and the other on modeling a set of inter-connected co-evolving time series (NoT). For both models, we will show that by treating networks as context, we are able to model more complicate real-world applications. Second, we will present some algorithmic examples on how to do mining with such new models, including ranking, imputation and prediction. Finally, we will demonstrate the effectiveness of our new models and algorithms in some applications, including bioinformatics, and sensor networks.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !