@@ -569,7 +569,7 @@ Another interesting arguments can be specified:
For closed pattern mining, the command line is similar:
```bash
closedsky -d <data path> --clom <measures> -s-p--jsonl <name of result file>
closedsky -d <data path> --clom <measures> -s--jsonl <name of result file>
```
The only difference is that we specify the argument **--clom** with the closed measures:
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@@ -581,7 +581,7 @@ The only difference is that we specify the argument **--clom** with the closed m
- M{i}: max value
- F: max frequency
Since many closed patterns might be generated, it is interesting to specify the argument --jsonl instead of --json. --jsonl will generate two files: one with the skypatterns, where each line of the file represents a skypattern, and another one with the search stats.
Since many closed patterns might be generated, it is interesting to specify the argument --jsonl instead of --json. --jsonl will generate two files: one with the skypatterns, where each line of the file represents a closed pattern in json format, and another file with the search stats.
**cpsky**
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@@ -590,3 +590,14 @@ For closed/sky pattern mining with CP+SKY. The arguments are similar to the ones
**arm**
For association rule mining.
```bash
arm -d <data path> --fmin <min freq> --cmin <min conf> --rt <rule type>-s--jsonl <name of result file
```
The arguments are the following:
-**-d**: Path of the transactional database
-**--fmin**: An integer that represents the min frequency of the rule
-**--cmin**: A double that represents the min confidence of the rule
-**--rt**: Type of the rule, can be **ar** (default, all the rules) or **mnr** (Minimal Non-Redundant rules)