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Up: Component summary
Component
WekaAPrioriMines association rules using a priori algorithm: R. Agrawal, R. Srikant: Fast Algorithms for Mining Association Rules in Large Databases. In: 20th International Conference on Very Large Data Bases, 478-499, 1994. Option for class association rules: Bing Liu, Wynne Hsu, Yiming Ma: Integrating Classification and Association Rule Mining. In: Fourth International Conference on Knowledge Discovery and Data Mining, 80-86, 1998.
| Version | 1.1 |
|---|---|
| Bundle | tools |
| Categories | Analysis |
| Authors | Sirkku Karinen (sirkku.karinen@helsinki.fi) |
| Issue tracker | View/Report issues |
| Requires | weka.jar (jar) ; csbl-javatools.jar (jar) ; installer (bash) |
| Source files | component.xml |
| Usage | Example with default values |
Inputs| Name | Type | Mandatory | Description |
|---|---|---|---|
| in | CSV | Mandatory | Transaction data with categorical variables. Transactions are presented by rows, and data can not contain numeric variables. |
| selectedColumns | CSV | Optional | List of selected columns used for association mining. Each row has comma-separated list and each row is processed in turn. Results are combined into single output. |
Outputs| Name | Type | Description |
|---|---|---|
| out | CSV | Association rules |
Parameters| Name | Type | Default | Description |
|---|---|---|---|
| classCol | string | "" | Class column in the data |
| classRules | boolean | false | Flag for mining class association rules |
| maxRules | int | (no default) | Maximum number of rules |
| maxSup | float | 1 | Maximum support |
| minConfidence | float | (no default) | Minimum confidence (i.e. conditional probabilities for rules) |
| minSup | float | (no default) | Minimum support |
| removeCols | string | "" | Columns to be removed from the data. |
Test cases| Test case | Parameters▼ | IN in |
IN selectedColumns |
OUT out |
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|---|---|---|---|---|---|---|
| case1 | properties | in | (missing) | out | ||
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minSup=0.1, |
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| case2_class | properties | in | (missing) | out | ||
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minSup=0.1, |
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| case3_columns | properties | in | selectedColumns | out | ||
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minSup=0.1, |
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