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Visualization of Apriori and Association Rules

This presentation by Manoj Wartikar and Sameer Sagade highlights the visual representation of Apriori association rules, with emphasis on easy comprehension and implementation in Java using ARFF formatted databases. Sample runs demonstrate iteration and rule mining processes, pointing towards future advancements in data mining activities. A valuable resource for researchers and practitioners in the field.

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Visualization of Apriori and Association Rules

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Presentation Transcript

  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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