HypTrails | The Official Resource
Introduction of the HypTrails method: Philipp Singer, Denis Helic, Andreas Hotho, Markus Strohmaier HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web Proceedings of the 24th International Conference on World Wide Web, 2015 Applications: Martin Becker, Kathrin Borchert, Matthias Hirth, Hauke Mewes, Andreas Hotho, Phuoc Tran-Gia MicroTrails: comparing hypotheses a
Analytics and Predictive Models for Social Media
Tutorial information Online social media represent a fundamental shift of how information is being produced, transferred and consumed. User generated content in the form of blog posts, comments, and tweets establishes a connection between the producers and the consumers of information. Tracking the pulse of the social media outlets, enables companies to gain feedback and insight in how to improve
tutorials [Auton Lab]
By: Jeff Schneider, Mary Soon Lee, Andrew Moore Description: A tutorial on using the Windows Vizier software, which provides a GUI for doing fast and autonomous locally weighted learning and nearest neighbor style learning. The Vizier software itself is available for free download at http://www.cs.cmu.edu/~awm/vizier, where you will find more details. Description: This is a link to the Auton Codin
Large graph mining: patterns, tools and case studies
Large graph mining: patterns, tools and case studies Tutorial proposal for CIKM 2008, Napa Valley, California Christos Faloutsos and Hanghang Tong, Carnegie Mellon University Abstract How do graphs look like? How do they evolve over time? How can we find patterns, anomalies and regularities in them? How to find influential nodes in the network? We will present both theoretical results and algorith
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