DIAL

DIAL

Data, Inference, Analysis and Learning Lab

CONTACT INFORMATION

Computer Science and Engineering
353 Fitzpatrick Hall
Notre Dame, IN 46556
(574) 631-8716
nchawla [at] cse [dot] nd.edu
News
September 2011: A contributed post by former group member Karsten Steinhaeuser is featured on the CRA CCC Blog.

September 2011: The First Irish Systems Team (FIrST) wins the DREAM6 challenge in predicting promoter activity from promoter sequence.

August 2011: LPmade: Link Prediction Made Easy published in the Journal of Machine Learning Research Open Source Software Track (JMLR OSS).

July 2011: A Supervised Learning Approach to the Ensemble Clustering of Genes accepted for publication in the International Journal of Data Mining and Bioinformatics (IJDMB).

July 2011: Chawla participates in the Healthcare panel for the ICML Workshop on Global Challenges for Machine Learning.

June 2011: Multivariate and Multiscale Dependence in the Global Climate System Revealed through Complex Networks published in Climate Dynamics.

June 2011: Hellinger Distance Decision Trees are Robust and Skew-Insensitive Published in Data Mining and Knowledge Discovery (DMKD).

Welcome to the DIAL (Data, Inference Analysis, and Learning) Laboratory, Professor Nitesh Chawla's research group. The DIAL Lab is closely affiliated with the Interdisciplinary Center for Network Science and Applications (iCeNSA), which is co-directed by Prof. Chawla. The iCeNSA is an interdisciplinary research center organized around network science problems in social, biological, biochemical, physical, environmental, financial, organizational, technical and defense systems.

Our research addresses a diverse set of problems including class imbalance, cost-sensitive learning, graph-based data mining, network science, parallel and distributed data mining, performance evaluation, privacy-preserving data mining, and collaborative filtering. We work on a broad range of applications including medical informatics, finance, security, biometrics, systems, bioinformatics, climate science, ecology, and customer behavior analytics. The research is/has been supported with grants and awards from National Science Foundation, Army Research Labs, NET Institute, Department of Energy, Department of Defense, National Institute of Justice, and Northwest Indiana Computational Grid.

Conference Alert!
The NASA Conference on Intelligent Data Understanding (CIDU), co-organized by members of the DIAL group, will be held in Mountain view, CA Oct 20-21, 2011. Please visit the Conference Hompage for more information and check us out on LinkedIn and Facebook! The Call for Papers is also available HERE.