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 622-630 Rayana S, Akoglu L
Journal Article Robust Semi-Supervised Classification for Multi-Relational Graphs 2015 Ye J, Akoglu L
Journal Article Where Graph Topology Matters: The Robust Subgraph Problem 2015 10-18 Chan H, Han S, Akoglu L
Conference Big Graph Mining for the Web and Social Media: Algorithms, Anomaly Detection, and Applications 2014 • WSDM'14: PROCEEDINGS OF THE 7TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING • 677-677 Kang U, Akoglu L, Chau DH
Conference ConnotationWordNet: Learning Connotation over the Word plus Sense Network 2014 • PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1 • 1544-1554 Kang JS, Feng S, Akoglu L, Choi Y
Conference Fast Information-Theoretic Agglomerative Co-clustering 2014 • Lecture Notes in Computer Science • 8506:147-159 Gao T, Akoglu L
Conference Fast Nearest Neighbor Search on Large Time-Evolving Graphs 2014 • Lecture Notes in Computer Science • 8724:17-33 Akoglu L, Khandekar R, Kumar V, Parthasarathy S, Rajan D, Wu K-L
Conference Focused Clustering and Outlier Detection in Large Attributed Graphs 2014 • Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 1346-1355 Perozzi B, Akoglu L, Sanchez PI, Mueller E
Conference Joint Voting Prediction for Questions and Answers in CQA 2014 • 2014 PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2014) • 340-343 Yao Y, Tong H, Xie T, Akoglu L, Xu F, Lu J
Conference Make It or Break It: Manipulating Robustness in Large Networks 2014 325-333 Chan H, Akoglu L, Tong H
Conference Min(e)d Your Tags: Analysis of Question Response Time in StackOverflow 2014 • 2014 PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2014) • 328-335 Bhat V, Gokhale A, Jadhav R, Pudipeddi J, Akoglu L
Conference Session details: Big graph mining 2014 workshop 2014 Kang U, Akoglu L, Chau P, Faloutsos C
Conference User Churn in Focused Question Answering Sites: Characterizations and Prediction 2014 • WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB • 469-474 Pudipeddi J, Akoglu L, Tong H
Conference Anomaly, event, and fraud detection in large network datasets 2013 773-774 Akoglu L, Faloutsos C
Conference Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs 2013 • 2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) • 899-905 Papalexakis EE, Akoglu L, Ienco D
Conference External Evaluation of Topic Models: A Graph Mining Approach 2013 • Proceedings / IEEE International Conference on Data Mining. IEEE International Conference on Data Mining • 973-978 Chan H, Akoglu L
Journal Article Islands and Bridges: Making Sense of Marked Nodes in Large Graphs 2013 Akoglu L, Tong H, Tatti N, Vreeken J, Chau DH, Faloutsos C
Conference Mining Connection Pathways for Marked Nodes in Large Graphs 2013 37-45 Akoglu L, Chau DH, Vreeken J, Tatti N, Tong H, Faloutsos C
Conference Mining connection pathways for marked nodes in large graphs 2013 • Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013 • 37-45 Akoglu L, Vreeken J, Tong H, Chau DH, Tatti N, Faloutsos C
