Tina Eliassi-Rad

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	Wszystkie	Od 2017
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Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryZweryfikowany adres z llnl.gov
Christos FaloutsosCMUZweryfikowany adres z cs.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Sucheta SoundarajanSyracuse UniversityZweryfikowany adres z syr.edu
Danai KoutraUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinZweryfikowany adres z cs.wisc.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzZweryfikowany adres z ucsc.edu
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU LeuvenZweryfikowany adres z kuleuven.be
Véronique Van VlasselaerKU LeuvenZweryfikowany adres z kuleuven.be
Polo ChauAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z cs.cmu.edu
Michalis FaloutsosU. C. RiversideZweryfikowany adres z cs.ucr.edu
Spiros PapadimitriouRutgers UniversityZweryfikowany adres z rutgers.edu
Mustafa BilgicIllinois Institute of TechnologyZweryfikowany adres z iit.edu
Prithviraj SenIBM ResearchZweryfikowany adres z us.ibm.com
Michele BerlingerioNovartis - AI Innovation CenterZweryfikowany adres z novartis.com
Charalampos E. TsourakakisBoston UniversityZweryfikowany adres z bu.edu
Sugato BasuPrincipal Scientist at GoogleZweryfikowany adres z google.com
Terence CritchlowPrincipal Technical Program Manager, Amazon.comZweryfikowany adres z amazon.com

Obserwuj

Tina Eliassi-Rad

Professor of Computer Science, Northeastern University

Zweryfikowany adres z eliassi.org - Strona główna

Data Mining Machine Learning Network Science Social Network Analysis


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008	2428	2008
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	432	2012
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	390	2015
Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	325	2007
Visual analysis of large heterogeneous social networks by semantic and structural abstraction Z Shen, KL Ma, T Eliassi-Rad IEEE transactions on visualization and computer graphics 12 (6), 1427-1439, 2006	268	2006
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	237	2012
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	236	2011
A probabilistic model for using social networks in personalized item recommendation AJB Chaney, DM Blei, T Eliassi-Rad Proceedings of the 9th ACM Conference on Recommender Systems, 43-50, 2015	209	2015
Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	191	2008
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE International Conference on Data Mining, 1091-1096, 2010	163	2010
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	126	2017
Netsimile: A scalable approach to size-independent network similarity M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos arXiv preprint arXiv:1209.2684, 2012	110	2012
Applying latent dirichlet allocation to group discovery in large graphs K Henderson, T Eliassi-Rad Proceedings of the 2009 ACM symposium on Applied Computing, 1456-1461, 2009	103	2009
Corescope: Graph mining using k-core analysis—patterns, anomalies and algorithms K Shin, T Eliassi-Rad, C Faloutsos 2016 IEEE 16th international conference on data mining (ICDM), 469-478, 2016	96	2016
Measuring tie strength in implicit social networks M Gupte, T Eliassi-Rad Proceedings of the 4th Annual ACM Web Science Conference, 109-118, 2012	96	2012
Network similarity via multiple social theories M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013	88	2013
Node immunization on large graphs: Theory and algorithms C Chen, H Tong, BA Prakash, CE Tsourakakis, T Eliassi-Rad, C Faloutsos, ... IEEE Transactions on Knowledge and Data Engineering 28 (1), 113-126, 2015	86	2015
Leveraging label-independent features for classification in sparsely labeled networks: An empirical study B Gallagher, T Eliassi-Rad International Workshop on Social Network Mining and Analysis, 1-19, 2008	81	2008
Guided learning for role discovery (GLRD) framework, algorithms, and applications S Gilpin, T Eliassi-Rad, I Davidson Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	78	2013
Metric forensics: a multi-level approach for mining volatile graphs K Henderson, T Eliassi-Rad, C Faloutsos, L Akoglu, L Li, K Maruhashi, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	77	2010

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