Conference Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective 2016 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 1167-1172 Rayana S, Zhong W, Akoglu L
Conference Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective 2016 1167-1172 Rayana S, Zhong W, Akoglu L
Preprint Temporal Opinion Spam Detection by Multivariate Indicative Signals 2016 Ye J, Kumar S, Akoglu L
Journal Article Temporal opinion spam detection by multivariate indicative signals 2016 • Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016 • 743-746 Ye J, Kumar S, Akoglu L
Preprint The Politics of Routing: Investigating the Relationship Between AS Connectivity and Internet Freedom 2016 Singh R, Koo H, Miramirkhani N, Mirhaj F, Akoglu L, Gill P
Conference The politics of routing: Investigating the relationship between as connectivity and internet freedom 2016 • 6th USENIX Workshop on Free and Open Communications on the Internet, FOCI 2016, co-located with USENIX Security 2016 Singh R, Koo H, Miramirkhani N, Mirhaj F, Gill P, Akoglu L
Journal Article The politics of routing: Investigating the relationship between as connectivity and internet freedom 2016 • 6th USENIX Workshop on Free and Open Communications on the Internet, FOCI 2016, co-located with USENIX Security 2016 Singh R, Koo H, Miramirkhani N, Mirhaj F, Gill P, Akoglu L
Journal Article Untitled 2016 • IEEE Transactions on Knowledge and Data Engineering • 28(10):2535-2537 Pei J, Akoglu L, Lee H, Levandoski J, Li X, Meo R, Ordonez C, Phillips J, Poblete B, Candan KS, Wang M, Wen J-R, Xiong L, Zhang W
Journal Article <i>APATE</i>: A novel approach for automated credit card transaction fraud detection using network-based extensions 2015 • Decision Support Systems • 75:38-48 Van Vlasselaer V, Bravo C, Caelen O, Eliassi-Rad T, Akoglu L, Snoeck M, Baesens B
Conference AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks 2015 • PROCEEDINGS OF THE 2015 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2015) • 659-666 Van Vlasselaer V, Eliassi-Rad T, Akoglu L, Snoeck M, Baesens B
Preprint BIRDNEST: Bayesian Inference for Ratings-Fraud Detection 2015 Hooi B, Shah N, Beutel A, Gunnemann S, Akoglu L, Kumar M, Makhija D, Faloutsos C
Conference Collective Opinion Spam Detection: Bridging Review Networks and Metadata 2015 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 985-994 Rayana S, Akoglu L
Conference Correlation of Node Importance Measures: An Empirical Study through Graph Robustness 2015 • WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB • 275-281 Baig MB, Akoglu L
Journal Article Detecting high-quality posts in community question answering sites 2015 • Information Sciences • 302:70-82 Yao Y, Tong H, Xie T, Akoglu L, Xu F, Lu J
Conference Discovering Opinion Spammer Groups by Network Footprints 2015 • Lecture Notes in Computer Science • 9284:267-282 Ye J, Akoglu L
Preprint EdgeCentric: Anomaly Detection in Edge-Attributed Networks 2015 Shah N, Beutel A, Hooi B, Akoglu L, Gunnemann S, Makhija D, Kumar M, Faloutsos C
Journal Article Effects of tag usage on question response time 2015 • Social Network Analysis and Mining • 5(1): Bhat V, Gokhale A, Jadhav R, Pudipeddi J, Akoglu L
Conference Fraud Detection through Graph-Based User Behavior Modeling 2015 • Proceedings of the ACM Conference on Computer and Communications Security • 1696-1697 Beutel A, Akoglu L, Faloutsos C
Journal Article Graph based anomaly detection and description: a survey 2015 • Data mining and knowledge discovery • 29(3):626-688 Akoglu L, Tong H, Koutra D
Conference Graph-Based User Behavior Modeling: From Prediction to Fraud Detection 2015 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 2309-2310 Beutel A, Akoglu L, Faloutsos C
Conference Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships 2015 • Proceedings of the Annual Hawaii International Conference on System Sciences • 918-927 Van Vlasselaer V, Akoglu L, Eliassi-Rad T, Snoeck M, Baesens B
Conference Less is more: Building selective anomaly ensembles with application to event detection in temporal graphs 2015 • SIAM International Conference on Data Mining 2015, SDM 2015 • 622-630 Rayana S, Akoglu L
Journal Article Robust Semi-Supervised Classification for Multi-Relational Graphs 2015 Ye J, Akoglu L
