Exploratory Data Mining in Behavioral Research: Sample Schedule

Day 1: Basic Issues in Exploratory Data Analysis and Data Mining

9:00-9:15           A: Introduction to the APA-ATI
9:15-10:30         B: Introduction to Exploratory Data Mining
10:45-12:00       C: Exploratory Regression and Factor Analysis techniques 
1:30- 3:00          D: TETRAD-LVPLS approaches for Latent Variable Path Analysis
3:15- 4:30          E: Computer laboratory
4:30- 5:00          F: References; Question & Answer session

Day 2: Basic Classification and Regression Tree (CART) Modeling

9:00-10:30         G: CART Recursive Partitioning and Vector Machines
10:45-12:00        H: Computer laboratory
1:30- 3:00          I: CART Splitting Criteria, Cross-Validation, and Variable Selection
3:15- 4:30          J: Computer laboratory 
4:30- 5:00          K: References; Question & Answer session 

Day 3: Advanced Issues in Classification and Regression Tree Modeling

9:00-10:30         L: Multivariate and Incomplete Data Mining using TABU and ACO
10:45-12:00       M: Computer laboratory
1:30- 3:00          N: Random Forests and Multivariate Adaptive Splines (MARS)    
3:15- 4:30          O: Computer laboratory 
4:30- 5:00          P: References; Question & Answer session 

Day 4: Issues in the Exploratory Analysis of Longitudinal Data Trajectories   

9:00-10:30         Q: Exploring Categorical Trajectories over Time (TraMineR)
10:45-12:00        R: Computer laboratory
1:30- 3:00          S: Exploring Survival Curves over Time (CART, PARTY)
3:15- 4:30          T: Computer laboratory 
4:30- 5:00          U: References; Question & Answer session

Day 5: Multivariate Exploratory Longitudinal Modeling

9:00-10:30          V: Exploring Multivariate Trajectories over Time (TraMineR)
10:45-12:00        W: Computer laboratory
1:30- 3:00           X: Combining Common Factors and Longitudinal Trajectories 
3:15- 4:30           Y: Computer laboratory
4:30- 5:00           Z: References; Question & Answer session