Journal Article Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset 2017 • Future Internet • 9(1): Vidros S, Kolias C, Kambourakis G, Akoglu L
Journal Article Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm 2017 Chen S, Niu S, Akoglu L, Kovačević J, Faloutsos C
Journal Article GOTCHA! Network-Based Fraud Detection for Social Security Fraud 2017 • Management science • 63(9):3090-3110 Van Vlasselaer V, Eliassi-Rad T, Akoglu L, Snoeck M, Baesens B
Journal Article LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector 2017 Gupta N, Eswaran D, Shah N, Akoglu L, Faloutsos C
Conference Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges 2017 • Proceedings ... ICDM workshops IEEE International Conference on Data Mining • 968-968 Akoglu L
Conference Ranking in heterogeneous networks with geo-location information 2017 • Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017 • 408-416 Mishra A, Akoglu L
Conference RUSH! Targeted Time-limited Coupons via Purchase Forecasts 2017 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 1923-1931 Manzoor E, Akoglu L
Journal Article Ties That Bind - Characterizing Classes by Attributes and Social Ties 2017 • WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB • 973-982 Rezaei A, Perozzi B, Akoglu L
Preprint Ties That Bind - Characterizing Classes by Attributes and Social Ties 2017 Rezaei A, Perozzi B, Akoglu L
Conference ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era 2016 • CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT • 2509-2509 Shi L, Tong H, Wang C, Akoglu L
Conference BIRDNEST: Bayesian inference for ratings-fraud detection 2016 • 16th SIAM International Conference on Data Mining 2016, SDM 2016 • 495-503 Hooi B, Shah N, Beutel A, Günnemann S, Akoglu L, Kumar M, Makhija D, Faloutsos C
Conference Collective opinion spam detection using active inference 2016 • 16th SIAM International Conference on Data Mining 2016, SDM 2016 • 630-638 Rayana S, Akoglu L
Conference EdgeCentric: Anomaly Detection in Edge-Attributed Networks 2016 • Proceedings ... ICDM workshops IEEE International Conference on Data Mining • 0:327-334 Shah N, Beutel A, Hooi B, Akoglu L, Gunnemann S, Makhija D, Kumar M, Faloutsos C
Conference EdgeCentric: Anomaly Detection in Edge-Attributed Networks 2016 • Proceedings ... ICDM workshops IEEE International Conference on Data Mining • 327-334 Shah N, Beutel A, Hooi B, Akoglu L, Guennemann S, Makhija D, Kumar M, Faloutsos C
Preprint Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs 2016 Manzoor EA, Momeni S, Venkatakrishnan VN, Akoglu L
Journal Article Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs 2016 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 1035-1044 Manzoor E, Milajerdi SM, Akoglu L
Journal Article Less is More: Building Selective Anomaly Ensembles 2016 • ACM Transactions on Knowledge Discovery from Data • 10(4): Rayana S, Akoglu L
Conference Optimizing network robustness by edge rewiring: a general framework 2016 • Data mining and knowledge discovery • 30(5):1395-1425 Chan H, Akoglu L
Journal Article Scalable anomaly ranking of attributed neighborhoods 2016 • 16th SIAM International Conference on Data Mining 2016, SDM 2016 • 207-215 Perozzi B, Akoglu L
Conference Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective 2016 1167-1172 Rayana S, Zhong W, Akoglu L
Preprint Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective 2016 Rayana S, Zhong W, Akoglu L
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
