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Visualization of Apriori and Association Rules

Visualization of Apriori and Association Rules. Presented By: Manoj Wartikar Sameer Sagade. Highlights and Targets. Apriori Visual Representation Mining of Association Rules Visualization of Association Rule. System Implementation Highlights. Easy to grasp visual representation technique

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Visualization of Apriori and Association Rules

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

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

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

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

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

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

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

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

  9. Thank You.

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