Leman Akoglu
News: I have moved (back!) to Carnegie Mellon University. You will soon be redirected to my new home ...
IEEE ICDM 2012 Tutorial : What is Strange in Large Networks? Graph-based Irregularity and Fraud Detection
Detecting anomalies and events in data is a vital task, with numerous applications in security, finance, health care, law enforcement, and many others. While many techniques have been developed in past years for spotting outliers and anomalies in unstructured collections of multi-dimensional points, with graph data becoming ubiquitous, techniques for structured graph data have been of focus recent
ACM WSDM 2013 Tutorial
Detecting anomalies and events in data is a vital task, with numerous applications in security, finance, health care, law enforcement, and many others. While many techniques have been developed in past years for spotting outliers and anomalies in unstructured collections of multi-dimensional points, with graph data becoming ubiquitous, techniques for structured graph data have been of focus recent
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http://www3.cs.stonybrook.edu/~leman/icdm12/ICDM12-Tutorial%20-%20PartI.pdf
http://www3.cs.stonybrook.edu/~leman/pubs/15-kdd-collectiveopinionspam.pdf
