Conference OPAvion: Mining and visualization in large graphs 2012 • Proceedings / ACM-SIGMOD International Conference on Management of Data. ACM-Sigmod International Conference on Management of Data • 717-720 Akoglu L, Chau DH, Kang U, Koutra D, Faloutsos C
Conference PICS: Parameter-free identification of cohesive subgroups in large attributed graphs 2012 • Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 • 439-450 Akoglu L, Tong H, Meeder B, Faloutsos C
Conference Quantifying reciprocity in large weighted communication networks 2012 • Lecture Notes in Computer Science • 7301 LNAI(PART 2):85-96 Akoglu L, Vaz De Melo POS, Faloutsos C
Conference RolX: Structural role extraction & mining in large graphs 2012 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 1231-1239 Henderson K, Gallagher B, Eliassi-Rad T, Tong H, Basu S, Akoglu L, Koutra D, Faloutsos C, Li L
Conference TourViz: Interactive visualization of connection pathways in large graphs 2012 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 1516-1519 Chau DH, Akoglu L, Vreeken J, Tong H, Faloutsos C
Conference It's who you know: Graph mining using recursive structural features 2011 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 663-671 Henderson K, Gallagher B, Li L, Akoglu L, Eliassi-Rad T, Tong H, Faloutsos C
Conference Preface 2011 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining Aggarwal C, Eliassi-Rad T, Yu PS, Tong H, Wang F, Cheng H, Akoglu L, Chi Y, Daly E, Davidson I, Gallagher BJ, Getoor L, Gurevich M, He J, Jaimes A, Kang U, Lerman K, Li L, Lu H, Luo D, Papadimitriou S, Prakash BA, Shaw Y, Sindhwani V, Yao Y, Wang D, Zhu H
Chapter STATISTICAL PROPERTIES OF SOCIAL NETWORKS 2011 • SOCIAL NETWORK DATA ANALYTICS • 17-42 McGlohon M, Akoglu L, Faloutsos C
Conference Metric forensics: A multi-level approach for mining volatile graphs 2010 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 163-172 Henderson K, Eliassi-Rad T, Faloutsos C, Akoglu L, Li L, Maruhashi K, Prakash BA, Tong H
Conference OddBall: Spotting Anomalies in Weighted Graphs 2010 • Lecture Notes in Computer Science • 6119:410-421 Akoglu L, McGlohon M, Faloutsos C
Conference Patterns on the connected components of terabyte-scale graphs 2010 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 875-880 Kang U, McGlohon M, Akoglu L, Faloutsos C
Conference Structure, tie persistence and event detection in large phone and SMS networks 2010 • Proceedings of the 8th Workshop on Mining and Learning with Graphs, MLG'10 • 10-17 Akoglu L, Dalvi B
Conference Surprising Patterns for the Call Duration Distribution of Mobile Phone Users 2010 • Lecture Notes in Computer Science • 6323:354-369 Vaz de Melo POS, Akoglu L, Faloutsos C, Loureiro AAF
Conference ValuePick: Towards a value-oriented dual-goal recommender system 2010 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 1151-1158 Akoglu L, Faloutsos C
Conference Large Human Communication Networks: Patterns and a Utility-Driven Generator 2009 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 269-277 Du N, Faloutsos C, Wang B, Akoglu L
Conference RTG: A Recursive Realistic Graph Generator Using Random Typing 2009 • Lecture Notes in Computer Science • 5781:13-28 Akoglu L, Faloutsos C
Journal Article RTG: a recursive realistic graph generator using random typing 2009 • Data mining and knowledge discovery • 19(2):194-209 Akoglu L, Faloutsos C
Conference <i>RTM</i>: Laws and a Recursive Generator for Weighted Time-Evolving Graphs 2008 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 701-706 Akoglu L, McGlohon M, Faloutsos C
Conference Weighted graphs and disconnected components: Patterns and a generator 2008 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 524-532 McGlohon M, Akoglu L, Faloutsos C
Journal Article Anomaly Detection in Large Labeled Multi-Graph Databases Nguyen HT, Liang PJ, Akoglu L
Journal Article Benefitter: Cost-aware Early Prediction on Multi-variate Time Series 2020 Akoglu L, Shekha S, Eswaran D, Hooi B, Elmer J, Faloutsos C
Journal Article Detecting Anomalies in Labeled Multi-Graph Databases: A Motif-based Approach Akoglu L, Hung N, Pierre JL
Conference Pattern Recognition and Anomaly Detection in Bookkeeping Data Liang PJ, Wang A, Akoglu L, Faloutsos C
Conference SUOD: Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection Akoglu L, Zhao Y, Hu X, Cheng C, Wang C, Wan C, Wang W, Yang J, Bai H, Li Z, Xiao C, Wang Y, Qiao Z, Sun J
