About

Welcome to the DATA Lab at the  Department of Computer Science at Stony Brook University.

Our group is interested in studying, understanding, and modeling large-scale data.

We focus on  problems involving massive graphs (GATA); including link analysis, pattern discovery, outlier mining; i.e., anomaly, fraud, event, and outbreak detection. 

Our goal is to invent effective and scalable algorithms and tools for mining and learning from (graph) data.

 

Research Areas

  • Data Mining and Knowledge Discovery
  • Network Science
  • Machine Learning
  • Big Data & Statistics
  • Large-scale Graph Mining
  • Pattern Discovery
  • Anomaly & Event Detection
  • Social and Information Media Analysis

Address 

We are located at Department of Computer Science, New Computer Science Bldg.  
2nd Floor, Room # 242.

  News 

  • May. 12th Our research on "Anomaly Detection in Streaming Heterogeneous Graphs" is accepted to SIGKDD 2016! Congratulations Emaad!
  • May. 5th Our research on anomaly ranking in attributed graphs has won the Best Research Paper Runner-up award at SDM 2016. Congratulations to Bryan and Leman!
  • Apr. 19th Junting is awarded AAAI ICWSM 2016 Student Grant Award, which will cover conference expenses for up to $350 for him to present his work. Congratulations Junting! Viva Cologne!
  • Mar. 10th Ms. Shebuti Rayana is awarded SIAM SDM 2016 Student Travel Award, which will cover conference expenses for up to $950 for her to present her work. Congratulations Shebuti!
  • Feb. 26th Junting's work on "Temporal Opinion Spam Detection by Multivariate Indicative Signals" (short) is accepted to AAAI ICWSM'16, Congratulations Junting!
  • Dec. 22nd 3 papers on detecting attributed graph anomalies and opinion spam at SIAM SDM'16., Congratulations Shebuti and Bryan!
  • Nov. 23rd Hau's work on "Optimizing Network Robustness by Edge Rewiring: A General Framework" is accepted by Data Mining and Knowledge Discovery (DAMI), Congratulations Hau!
  • June Our group's research is now supported by DARPA in a joint project with IBM, Northwestern, UIC and SBU. Thanks DARPA!
  • June 2nd Junting's work on detecting opinion spammer groups, leveraging network footprints, has been accepted to ECML/PKDD 2015, a top-tier conference of data mining. Congratulations Junting!
  • May 12th Shebuti's work on collective opinion spam detection, leveraging both network structure and metadata, has been accepted to ACM SIGKDD 2015, the premier conference of data mining. Congratulations Shebuti!
  • May 6th Congratulations to Hau Chan, who has won a 2015 Catacosinos Fellowship for Excellence in Computer Science, an award given to graduate students who have made a strong contribution in the field of computer science.
  • Apr 16th Our research on mining robust subgraphs has won the Best Research Paper award at SDM 2015. Congratulations to Hau, Shuchu, and Leman!
  • Mar 12th Shebuti Rayana has won the SIAM SDM 2015 Student Travel Award to attend and present her work. Congratulations Shebuti!
  • Feb 28th Research by Mirza Basim Baig on correlation of node importance measures is to appear at WWW 2015. Congratulations Basim!
  • Dec 24th Research by Shebuti Rayana on ensemble learning for event detection in dynamic graphs is to appear at SDM 2015. Congratulations Shebuti!
  • Dec 24th Research by Hau Chan and Shuchu Han on finding robust subgraphs in large graphs is to appear at SDM 2015. Congratulations Hau and Shuchu!
  • Sep 30th Tiantian Gao has won the best paper award at ADC 2014. Congratulations Tiantian!
  • May 30th Research by Bryan Perozzi on attributed community and outlier mining is to appear at KDD 2014. KDD is the premier conference in data mining with >2000 attendees this year. Congratulations Bryan!
  • Mar 14th Hau Chan has won the SIAM SDM 2014 Student Travel Award to attend and present his work. Congratulations Hau!
  • Feb 12th Research led by Vasudev Bhat on using tags to predict response time of questions in Stackoverflow is to appear at ASONAM 2014. Congratulations Vasudev!
  • Jan 28th Congrats to Jagat for the acceptance of his paper "User churn in focused Q&A sites: Characterizations and Prediction" at WWW14.
  • Jan 28th Congrats to Hau for the acceptance of his paper "Make it or Break it: manipulating robustness in large networks" at SDM14!
  • Oct 30th Hau Chan won an ICDM student travel grant, sponsored by the National Science Foundation. The conference will support conference related travel in the amount of $750. Congrats Hau!
  • Sep 17th Congrats to Hau for the acceptance of his paper on evalution of topic models at ICDM'13!
  • Congrats to Vivek and Jagat for the acceptance of their paper on human brain networks at BHI'13!