Data Mining at Iowa Group

DMIG is a research group directed by Nick Street performing theoretical, algorithmic and applied research in data mining and machine learning. We are housed in the Tippie College of Business and share the ISOR lab. We welcome students and faculty from all academic disciplines who want to learn more about these areas.

Spring 2014 Meeting Schedule

Date Time Room Presenter Topic Resources
1/24       no meeting  
1/31 11:30-1:00 S364 PBB lunch    
2/7 1:00-2:30 S364 PBB Qihang Lin Convex optimization in machine learning slides
2/14 11:30-1:00 S364 PBB Kyle McQuisten Performance of secondary numerical target structure features for siRNA design  
2/21 12:30-1:30 S364 PBB Senay Yasar Saglam Improving a dynamic ensemble selection method based on oracle information paper
2/28 11:30-1:00 S364 PBB Fahrettin Cakir SMILe: Shuffled Multiple Instance Learning paper
3/7 1:00-2:30 S364 PBB Kyle Taylor Improving Prediction of Hearing Loss Genotypes from Phenotypes Using Spectral Clustering to Discover new Classes background paper
3/14 11:30-1:00 S364 PBB Chao Yang Supervised Text-based Geolocation Using Language Models on an Adaptive Grid paper
3/21       spring break  
3/28       no meeting  
4/4 1:00-2:30 S364 PBB Xi Wang Understanding Social Support and User Behaviors in Online Health Communities  
4/11 12:30-1:30 S364 PBB Akpene Gbegnon Development of a Real-Time Predictive Model for Surgical Site Infections  
4/18 11:30-1:00 S364 PBB Wenjun Wang Efficient influence maximization in social netowrks paper
4/25       no meeting  
5/2 1:00-2:30 S364 PBB Mike Lash Predicting Movie Success - A Social Network Perspective  
5/9 11:30-1:00 S364 PBB Alex Wagner Guided diagnosis of ocular disease