Mary McGlohon
email:mmcgloho (at) cs (dot) cmu (dot) edu
organization:School of Computer Science, Carnegie Mellon University, http://www.cs.cmu.edu/
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Description

Mary McGlohon is a Ph.D. student in the Machine Learning Department at Carnegie Mellon University. She has received a National Science Foundation Graduate Research Fellowship (2005). Prior to beginning her graduate work, she received B.S. degrees in Computer Science and Mathematics from the University of Tulsa in Tulsa, Oklahoma. Her thesis research focuses on graph mining, particularly with respect to properties of evolving graphs, information diffusion in networks, and link analysis.


Lectures:

tutorial
Graph Mining Techniques for Social Media Analysis

as author at  International Conference on Weblogs and Social Media,
1945 views
  lecture
Weighted Graphs and Disconnected Components

as author at  The 14th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
587 views
lecture
Weighted Graphs and Disconnected Components: Patterns and a Generator

as author at  Carnegie Mellon Machine Learning Lunch seminar,
121 views
  lecture
Community Structure and Information Flow in Usenet: Improving analysis with a thread ownership model

as author at  ICWSM 2009 - International AAAI Conference on Weblogs and Social Media,
49 views
lecture
locked SNARE: A Link Analytic System for Graph Labeling and Risk Detection

as author at  Industrial Track,
11 views