1. Visualization of Apriori and Association Rules n Presented By: –Manoj Wartikar –Sameer Sagade

2. Highlights and Targets n Apriori Visual Representation n Mining of Association Rules n Visualization of Association Rule

3. System Implementation Highlights n Easy to grasp visual representation technique n Implementation in JAVA n Background database used is the ARFF format which is the most widely used Data format for research projects.

4. Sample Run n Execution on a Sample database. n Threshold Specified is : 33% n Attribute for Mining: “ITEM”

5. Sample Run contd…. n Iteration # 1 n Visual representation of different values for attribute “Item” n Graph in RED indicates that the value is below the threshold

6. Sample Run contd…. n Iteration # 2 n Based on the Apriori principle (i.e an item can be frequent if its frequent in the previous iterations)

7. Association Rule Mining n Representation of Association rules as determined by the apriori. n The representation at each iteration possible.

8. Future Advancements n Association Rule represenation in greater depth. n Association Rule mining can be said to be the next area of interests for researchers in this area. n Useful in all future Data Mining activities.

9. Thank You.