Leman Akoglu

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	All	Since 2016
Citations	6116	4824
h-index	39	32
i10-index	65	60

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Co-authors

Christos FaloutsosCMUVerified email at cs.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Tina Eliassi-RadProfessor of Computer Science, Northeastern UniversityVerified email at eliassi.org
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Shebuti RayanaAssistant Professor, SUNY at Old WestburyVerified email at cs.stonybrook.edu
Duen Horng (Polo) ChauAssociate Professor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
Jilles VreekenCISPA Helmholtz Center for Information Security; Professor, Saarland UniversityVerified email at cispa.saarland
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
U KangProfessor of Computer Science and Engineering, Seoul National UniversityVerified email at snu.ac.kr
Bryan PerozziStony Brook UniversityVerified email at cs.stonybrook.edu
Alex BeutelResearch Scientist, GoogleVerified email at google.com
Sugato BasuPrincipal Scientist at GoogleVerified email at google.com
Pedro O.S Vaz de MeloProfessor de Ciência da Computação, Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Neil ShahSenior Research Scientist, Snap Inc.Verified email at snap.com
Emaad ManzoorCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerified email at in.tum.de
Mohit KumarUdaan, Flipkart, Accenture Technology Labs, Carnegie Mellon UniversityVerified email at udaan.com
Antonio LoureiroProfessor of Computer Science, Universidade Federal de Minas Gerais, BrazilVerified email at dcc.ufmg.br
Evangelos E. PapalexakisAssistant Professor, University of California RiversideVerified email at cs.ucr.edu

Leman Akoglu

Associate Professor of Information Systems, Heinz College, Carnegie Mellon University

Verified email at andrew.cmu.edu - Homepage

data mining anomaly mining graph mining machine learning social and information data analysis


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Graph based anomaly detection and description: a survey L Akoglu, H Tong, D Koutra Data mining and knowledge discovery 29 (3), 626-688, 2015	892	2015
Oddball: Spotting anomalies in weighted graphs L Akoglu, M McGlohon, C Faloutsos Pacific-Asia conference on knowledge discovery and data mining, 410-421, 2010	543	2010
Opinion fraud detection in online reviews by network effects L Akoglu, R Chandy, C Faloutsos Proceedings of the International AAAI Conference on Web and Social Media 7 (1), 2013	377	2013
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	357	2012
Collective opinion spam detection: Bridging review networks and metadata S Rayana, L Akoglu Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015	278	2015
It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	243	2011
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions V Van Vlasselaer, C Bravo, O Caelen, T Eliassi-Rad, L Akoglu, M Snoeck, ... Decision Support Systems 75, 38-48, 2015	235	2015
Focused clustering and outlier detection in large attributed graphs B Perozzi, L Akoglu, P Iglesias Sánchez, E Müller Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	181	2014
Event detection in time series of mobile communication graphs L Akoglu, C Faloutsos Army science conference 1, 2010	158	2010
Weighted graphs and disconnected components: patterns and a generator M McGlohon, L Akoglu, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	150	2008
Pics: Parameter-free identification of cohesive subgroups in large attributed graphs L Akoglu, H Tong, B Meeder, C Faloutsos Proceedings of the 2012 SIAM international conference on data mining, 439-450, 2012	135	2012
Discovering opinion spammer groups by network footprints J Ye, L Akoglu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015	133	2015
Do more views of a graph help? community detection and clustering in multi-graphs EE Papalexakis, L Akoglu, D Ience Proceedings of the 16th International Conference on Information Fusion, 899-905, 2013	108	2013
Fast and reliable anomaly detection in categorical data L Akoglu, H Tong, J Vreeken, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	108	2012
Surprising patterns for the call duration distribution of mobile phone users POSV De Melo, L Akoglu, C Faloutsos, AAF Loureiro Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	108	2010
RTG: A recursive realistic graph generator using random typing L Akoglu, C Faloutsos Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	94	2009
Fast memory-efficient anomaly detection in streaming heterogeneous graphs E Manzoor, SM Milajerdi, L Akoglu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	93	2016
Gotcha! Network-based fraud detection for social security fraud V Van Vlasselaer, T Eliassi-Rad, L Akoglu, M Snoeck, B Baesens Management Science 63 (9), 3090-3110, 2017	92	2017
Birdnest: Bayesian inference for ratings-fraud detection B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ... Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016	92	2016
Less is more: Building selective anomaly ensembles S Rayana, L Akoglu Acm transactions on knowledge discovery from data (tkdd) 10 (4), 1-33, 2016	81	2016

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