View top-k class association rules with the Visual Pattern Viewer (SPMF documentation)

Association rules are a type of patterns that can be produced by different algorithms offered in SPMF.

This page explains how to visualize the top-k class association rules found by an algorithm using the Visual Pattern Viewer.

How to run this example?

If you want to run this example using the graphical user interface of SPMF, follow these steps.

1) First, select an algorithm to mine top-k class association rules offered in SPMF. Several algorithms are offered and are described in the documentation of SPMF.

2) Then, in the user interface of SPMF, after selecting an algorithm and setting its input file path, output file path, and parameters, click on the combo-box besides "Open output file using:", and select "Visualize_Top-K_Class_Association_rules" so that the discovered patterns will be opened with the visual pattern viewer.

visualize association rules selection

3) Then click on "Run algorithm" to run the algorithm.

After the algorithm terminates, the discovered patterns will be displayed using the Visual Pattern Viewer:

visualize rules viewer

The Visual Pattern Viewer interface is quite intuitive. It displays each pattern with its value for each evaluation measure using a colored bar.

The Visual Pattern Viewer offers several features such as:

Other ways of running the Visual Pattern Viewer

It is also possible to run the Visual Pattern Viewer as an algorithm from the GUI of SPMF..

In this case, in the user interface of SPMF, select "Visualize_Top-K_Class_Association_rules" as algorithm. Then, select a file containing association rules as input file. Then, click "run algorithm".

This will display the patterns from the file using the Visual Pattern Viewer.

Besides, it is also possible to call the Visual Pattern Viewer from the command line interface of SPMF using this syntax:

java -jar spmf.jar run ALGORITHM_NAME PATTERN_FILE.TXT in a folder containing spmf.jar and an input file containing a pattern file, here called: PATTERN_FILE.txt.

What is the input file format?

The algorithm takes as input a file containing association rules.

The file format is defined as follows. It is a text file, where each line represents an association rule.

On each line, the items of the rule antecedent are first listed. Each item is represented by an integer, followed by a single space. After, that the keyword "==>" appears followed by a space. Then, the items of the rule consequent are listed. Each item is represented by an integer, followed by a single space. Then, the keyword " #SUP: " appears followed by the support of the rule represented by an integer. Then, the keyword " #CONF: " appears followed by the confidence of the rule represented by a double value (a value between 0 and 1, inclusively).

3 ==> 5 #SUP: 3 #CONF: 0.75
2 3 ==> 5 #SUP: 3 #CONF: 1.0
2 ==> 5 #SUP: 4 #CONF: 1.0