Leman Akoglu

According to our database1, Leman Akoglu authored at least 81 papers between 2008 and 2019.

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Bibliography

2019
ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections.
Proceedings of the World Wide Web Conference, 2019

Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration?
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

BuScope: Fusing Individual & Aggregated Mobility Behavior for.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2018
Discovering Communities and Anomalies in Attributed Graphs: Interactive Visual Exploration and Summarization.
TKDD, 2018

Explaining anomalies in groups with characterizing subspace rules.
Data Min. Knowl. Discov., 2018

Incorporating Privileged Information to Unsupervised Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Beyond Outlier Detection: LookOut for Pictorial Explanation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Robust Semi-Supervised Learning on Multiple Networks with Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Extremely Fast Decision Tree.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
GOTCHA! Network-Based Fraud Detection for Social Security Fraud.
Management Science, 2017

Automatic Detection of Online Recruitment Frauds: Characteristics, Methods, and a Public Dataset.
Future Internet, 2017

Ties That Bind: Characterizing Classes by Attributes and Social Ties.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Ranking in Heterogeneous Networks with Geo-Location Information.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Domain-Agnostic Approach to Spam-URL Detection via Redirects.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

RUSH!: Targeted Time-limited Coupons via Purchase Forecasts.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016

Less is More: Building Selective Anomaly Ensembles.
TKDD, 2016

Optimizing network robustness by edge rewiring: a general framework.
Data Min. Knowl. Discov., 2016

The Politics of Routing: Investigating the Relationship between AS Connectivity and Internet Freedom.
Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet, 2016

Collective Opinion Spam Detection using Active Inference.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Scalable Anomaly Ranking of Attributed Neighborhoods.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Temporal Opinion Spam Detection by Multivariate Indicative Signals.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Effects of tag usage on question response time - Analysis and prediction in StackOverflow.
Social Netw. Analys. Mining, 2015

Detecting high-quality posts in community question answering sites.
Inf. Sci., 2015

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.
Decision Support Systems, 2015

Graph based anomaly detection and description: a survey.
Data Min. Knowl. Discov., 2015

Correlation of Node Importance Measures: An Empirical Study through Graph Robustness.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Less is More: Building Selective Anomaly Ensembles with Application to Event Detection in Temporal Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Where Graph Topology Matters: The Robust Subgraph Problem.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Discovering Opinion Spammer Groups by Network Footprints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Collective Opinion Spam Detection: Bridging Review Networks and Metadata.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Discovering Opinion Spammer Groups by Network Footprints.
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

Fraud Detection through Graph-Based User Behavior Modeling.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
User churn in focused question answering sites: characterizations and prediction.
Proceedings of the 23rd International World Wide Web Conference, 2014

Big graph mining for the web and social media: algorithms, anomaly detection, and applications.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Make It or Break It: Manipulating Robustness in Large Networks.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fast Nearest Neighbor Search on Large Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Focused clustering and outlier detection in large attributed graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Quantifying Political Polarity Based on Bipartite Opinion Networks.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Joint voting prediction for questions and answers in CQA.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Min(e)d your tags: Analysis of Question response time in StackOverflow.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Fast Information-Theoretic Agglomerative Co-clustering.
Proceedings of the Databases Theory and Applications, 2014

ConnotationWordNet: Learning Connotation over the Word+Sense Network.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Anomaly, event, and fraud detection in large network datasets.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Opinion Fraud Detection in Online Reviews by Network Effects.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

External Evaluation of Topic Models: A Graph Mining Approach.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Do more views of a graph help? Community detection and clustering in multi-graphs.
Proceedings of the 16th International Conference on Information Fusion, 2013

Sex Differences in the Human Connectome.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
OPAvion: mining and visualization in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Quantifying Reciprocity in Large Weighted Communication Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast and reliable anomaly detection in categorical data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Statistical Properties of Social Networks.
Proceedings of the Social Network Data Analytics, 2011

2010
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

oddball: Spotting Anomalies in Weighted Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Structure, tie persistence and event detection in large phone and SMS networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.
Proceedings of the ICDM 2010, 2010

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System.
Proceedings of the ICDMW 2010, 2010

2009
RTG: A Recursive Realistic Graph Generator Using Random Typing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Large human communication networks: patterns and a utility-driven generator.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Weighted graphs and disconnected components: patterns and a generator.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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