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Apriori (3.7)

Analytics Integrations Weka Weka (3.7) Association Rules
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Class implementing an Apriori-type algorithm

Iteratively reduces the minimum support until it finds the required number of rules with the given minimum confidence.The algorithm has an option to mine class association rules.

It is adapted as explained in the second reference.

For more information see:

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.

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.

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Node details

Input ports
  1. Type: Table
    Training data
    Training data

Extension

The Apriori (3.7) node is part of this extension:

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