Welcome to the DATA Lab at the Department of Computer Science at
Stony Brook University.
is interested in studying, understanding, and modeling large-scale
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 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
We are located at Department of Computer Science, New Computer Science Bldg.
2nd Floor, Room # 242.
- 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!