Visualization of Apriori and
Association Rules
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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
 Implementation in JAVA
 Background database used is the ARFF
format which is the most widely used
Data format for research projects.

Sample Run
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Execution on a
Sample database.
Threshold Specified
is : 33%
Attribute for Mining:
“ITEM”
Sample Run contd….
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Iteration # 1
Visual
representation of
different values for
attribute “Item”
Graph in RED
indicates that the
value is below the
threshold
Sample Run contd….
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Iteration # 2
Based on the Apriori
principle (i.e an item
can be frequent if its
frequent in the
previous iterations)
Association Rule Mining

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Representation of
Association rules as
determined by the
apriori.
The representation
at each iteration
possible.
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.

Thank You.