Big Data: Exploratory Data Mining in Behavioral Research: Sample Schedule

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

9:00-9:15           Introduction to the APA-ATI

9:15-10:30         Introduction to Exploratory Data Mining

10:45-12:00       Exploratory Regression and Factor Analysis techniques 

1:30- 3:00          TETRAD-LVPLS approaches for Latent Variable Path Analysis

3:15- 4:30          Computer laboratory

4:30- 5:00          References; Question & Answer session

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

9:00-10:30         CART Recursive Partitioning and Vector Machines

10:45-12:00       Computer laboratory

1:30- 3:00          CART Splitting Criteria, Cross-Validation, and Variable Selection

3:15- 4:30          Computer laboratory 

4:30- 5:00          References; Question & Answer session 

Day 3: Advanced Issues in Classification and Regression Tree Modeling

9:00-10:30         Multivariate and Incomplete Data Mining using TABU and ACO

10:45-12:00       Computer laboratory

1:30- 3:00          Random Forests and Multivariate Adaptive Splines (MARS)    

3:15- 4:30          Computer laboratory 

4:30- 5:00          References; Question & Answer session 

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

9:00-10:30         Exploring Categorical Trajectories over Time (TraMineR)

10:45-12:00       Computer laboratory

1:30- 3:00          Exploring Survival Curves over Time (CART, PARTY)

3:15- 4:30          Computer laboratory 

4:30- 5:00          References; Question & Answer session

Day 5: Multivariate Exploratory Longitudinal Modeling

9:00-10:30          Exploring Multivariate Trajectories over Time (TraMineR)

10:45-12:00        Computer laboratory

1:30- 3:00           Combining Common Factors and Longitudinal Trajectories 

3:15- 4:30           Computer laboratory

4:30- 5:00           References; Question & Answer session

 

2012 ATI participants and instructors

2012 ATI participants and instructors.