Download Visualization of Apriori and Association Rules

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
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
 Implementation in JAVA
 Background database used is the ARFF
format which is the most widely used
Data format for research projects.

Sample Run



Execution on a
Sample database.
Threshold Specified
is : 33%
Attribute for Mining:
“ITEM”
Sample Run contd….



Iteration # 1
Visual
representation of
different values for
attribute “Item”
Graph in RED
indicates that the
value is below the
threshold
Sample Run contd….


Iteration # 2
Based on the Apriori
principle (i.e an item
can be frequent if its
frequent in the
previous iterations)
Association Rule Mining


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.