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 2008 Meeting Schedule

Date Time Room Presenter Topic Resources
1/23 12:00-1:30 W326 PBB Jing Wang Active learning  
1/30 12:00-1:30 W326 PBB Si-Chi Chin Selecting among text normalization strategies paper
2/6     no meeting    
2/13 12:00-1:30 W326 Bob Arens The Five Stages of Grief: What to do when you get bad or bizarre results  
2/20 12:00-1:30 W326 Bob Hamel Models for monitoring wind farm power paper
2/27 12:00-1:30 W326 Chih-Lin Chi Machine learning-based health care decision support systems
(interview talk)		  
3/6     no meeting    
3/13 12:00-1:30 W326 TBD    
3/20     Spring break    
3/27     no meeting    
4/3     no meeting    
4/10 12:00-1:30 W326 Lian Duan Mining non-redundant high order correlations in binary data paper
4/17 12:00-1:30 W326 Mohammad Khoshneshin Bayesian co-clustering paper
4/24     no meeting    
5/1     no meeting    
5/8 12:00-1:30 W326 Chen Yang Using Bayesian networks to predict end-stage renal disease