View self-adaptive one-off weak-gap strong sequential patterns with the Visual Pattern Viewer (SPMF documentation)

Self-adaptive one-off weak-gap strong sequential patterns are a type of patterns that can be produced by different algorithms offered in SPMF.

This page explains how to visualize the self-adaptive one-off weak-gap strong sequential patterns 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 self-adaptive one-off weak-gap strong sequential pattern mining algorithm 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_self_adaptive_one_off_weakgap_strong_sequential_pattern" so that the discovered patterns will be opened with the visual pattern viewer.

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:

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:

• Viewing patterns using different layouts (grid, horizontal and vertical layout).
• Sorting patterns by size and measure values.
• Searching and filtering using measure values
• Displaying statistics about the number of patterns found.

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_self_adaptive_one_off_weakgap_strong_sequential_pattern" as algorithm. Then, select a file containing self-adaptive one-off weak-gap strong sequential patterns 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 self-adaptive one-off weak-gap strong sequential patterns.

The file format is defined as follows. It is a text file, where each line represents an self-adaptive one-off weak-gap strong sequential pattern.

Each line is a frequent sequential pattern. Each symbol from a sequential pattern is a positive integer. The value "-1" is used to separate symbols . On each line, the sequential pattern is first indicated. Then, the keyword "#SUP:" appears followed by an integer indicating the support of the pattern as a number of occurrences. For example, here is a small pattern file:

The last line indicates that the frequent sequential pattern consisting of the symbol t followed by the symbol c, followed by c has a support of 2 (two occurrences in the input sequence). Other lines follow the same format.