#### This guide helps to build the decision tree, clustering model, and association rules with WEKA ####

BY: @ Group 5
    @ Yuehan Lan



1. Click the "explorer" button.

2. Click "open file" button, find the location of the data file, choose the type of the file, and open.

3. Build decision tree:  Click "Classify", Choose "Trees - REPTree", start, then right click the result and click visualize tree.

3. Build clustering: Click "Cluster", Choose "SimpleKMeans", start. Then right click the result and click visualize culster assignments.

4. Build association rules: The attributes of this data are all numeric, so we should convert them to nominal.

5. Click preprocess, click the "choose" button under the "filter", "filters - unsupervised - attribute - NumericToNominal"

6. Click "All", then click "apply"

7. Click "Associate", choose "Apriori", then start.

8. To save the result, right click the result which you want to save, choose "save model"

9. To load the result, right click the result list blank area,  choose "load model"