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.

Fall 2009 Meeting Schedule

Date Time Room Presenter Topic Resources
8/28 12:30-2:00 W326 PBB   Organizational meeting  
9/4 12:45-2:00 W326 PBB Senay Yasar Saglam Dynamic Ensemble Construction via Heuristic Optimization  
9/11 12:30-2:00 W326 PBB Jing Wang Estimating Missing Attribute Values Using Ordered Attribute Trees  
9/18 1:00-2:00 W326 PBB Si-Chi Chin Using Language Models to Detect Wikipedia Vandalism paper
9/25 12:30-2:00 W326 PBB Mohammad Khoshneshin Incremental Collaborative Filtering via Evolutionary Co-clustering  
10/2 1:30-2:30 W326 PBB Zijun Zhang Simulation in Wind Turbine Vibrations: A Data Driven Analysis slides
10/9 1:00-2:00 W326 PBB Lian Duan Making Recommendations with Subsets of Correlated Features  
10/16 12:30-2:00 W326 PBB Bob Arens Learning to rank documents with support vector machines via active learning  
10/23 12:30-2:00 W326 PBB Mingyang Li Applications of computational intelligence in HVAC system modeling and optimization  
10/30 12:00-1:30 W326 PBB Viet Ha Thuc A Latent Dirchlet Framework for Relevance Modeling paper
11/6 12:30-2:00 W326 PBB Jieqiu Chen Exploiting separability in large-scale linear support vector machine training paper
11/13 12:30-2:00 W326 PBB Hiep Nguyen Robust Information-theoretic Clustering paper
11/20     no meeting    
11/27     Thanksgiving    
12/4 12:30-2:00 W326 PBB Mike Rechenthin    
12/11 1:00-2:00 W326 PBB Hiep Nguyen Robust Information-theoretic Clustering paper