Conference Sex Differences in the Human Connectome 2013 • Lecture Notes in Computer Science • 8211:82-91 Kulkarni V, Pudipeddi JS, Akoglu L, Vogelstein JT, Vogelstein RJ, Ryman S, Jung RE
Journal Article Want a Good Answer? Ask a Good Question First! 2013 Yao Y, Tong H, Xie T, Akoglu L, Xu F, Lu J
Conference Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs 2012 • 2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) • 696-698 Chau DH, Akoglu L, Vreeken J, Tong H, Faloutsos C
Journal Article Islands and Bridges: Making Sense of Marked Nodes in Large Graphs 2012 Akoglu L, Vreeken J, Tong H, Chau DH, Faloutsos C
Chapter STATISTICAL PROPERTIES OF SOCIAL NETWORKS 2011 • SOCIAL NETWORK DATA ANALYTICS • 17-42 McGlohon M, Akoglu L, Faloutsos C
Conference OddBall: Spotting Anomalies in Weighted Graphs 2010 • Lecture Notes in Computer Science • 6119:410-421 Akoglu L, McGlohon M, Faloutsos C
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 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
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 RTG: A Recursive Realistic Graph Generator Using Random Typing 2009 • Lecture Notes in Computer Science • 5781:13-28 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
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
Journal Article Temporal Opinion Spam Detection by Multivariate Indicative Signals • Proceedings of the International AAAI Conference on Web and Social Media • 10(1):743-746 Ye J, Kumar S, Akoglu L
Journal Article TG-sum: Summarizing Directed Multi-Type Multi-Graphs Akoglu L, Berberidis D, J. Liang P