UH Data Mining and Machine Learning Group (UH-DMML)

Co-directed by: Christoph F. Eick and Ricardo Vilalta

Goal:

Development of data analysis and data mining techniques and the application of these techniques to challenging problems in physics, geology, astronomy, environmental sciences, and medicine.

Topics investigated:

• Meta Learning
• Classification and Learning from Examples
• Clustering
• Distance Function Learning
• Using Reinforcement Learning for Data Mining
• Spatial Data Mining
• Knowledge Discovery