Sotabase

Career

· Amazon Scholar, Amazon2017–
· Fredkin Professor of Computer Science, Carnegie Mellon University2000–
· Associate Professor, Carnegie Mellon University1998–2000
· Visiting Associate Professor, Carnegie Mellon University1997–1998
· Associate Professor, University of Maryland1991–1998
· Assistant Professor, University of Maryland1985–1991
· PhD in Computer Science, University of Toronto1983–1985
· MS in Computer Science, University of Toronto1982–1983
· B.Sc. in Electrical Engineering, National Technical University of Athens1981–1981
· Tutor and Instructor, University of Toronto1981–1985

Publications (523)

Tensor Decomposition for Signal Processing and Machine Learning
IEEE Transactions on Signal Processing · 2016
1,499
cited
Ensemble Methods
Machine Learning with Spark™ and Python® · 2019
1,323
cited
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
2009 Ninth IEEE International Conference on Data Mining · 2009
734
cited
oddball: Spotting Anomalies in Weighted Graphs
Pacific-Asia Conference on Knowledge Discovery and Data Mining · 2010
587
cited
Edge Weight Prediction in Weighted Signed Networks
Industrial Conference on Data Mining · 2016
543
cited
RolX: structural role extraction & mining in large graphs
Knowledge Discovery and Data Mining · 2012
465
cited
Opinion Fraud Detection in Online Reviews by Network Effects
International Conference on Web and Social Media · 2013
451
cited
Why people hate your app: making sense of user feedback in a mobile app store
Knowledge Discovery and Data Mining · 2013
434
cited
REV2: Fraudulent User Prediction in Rating Platforms
Web Search and Data Mining · 2018
422
cited
Tensors for Data Mining and Data Fusion
ACM Transactions on Intelligent Systems and Technology · 2016
392
cited
CopyCatch: stopping group attacks by spotting lockstep behavior in social networks
The Web Conference · 2013
375
cited
Anomaly detection in dynamic networks: a survey
2015
370
cited
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
Knowledge Discovery and Data Mining · 2016
366
cited
DOULION: counting triangles in massive graphs with a coin
Knowledge Discovery and Data Mining · 2009
357
cited
Rise and fall patterns of information diffusion: model and implications
Knowledge Discovery and Data Mining · 2012
355
cited
Advanced Database Systems
Lecture Notes in Computer Science · 1997
342
cited
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Knowledge Discovery and Data Mining · 2012
305
cited
It's who you know: graph mining using recursive structural features
Knowledge Discovery and Data Mining · 2011
278
cited
Gelling, and melting, large graphs by edge manipulation
International Conference on Information and Knowledge Management · 2012
264
cited
Click chain model in web search
The Web Conference · 2009
256
cited
Sotabase