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FPGrowth (3.6) (legacy)

AnalyticsIntegrationsWekaWeka (3.6)Association Rules
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Class implementing the FP-growth algorithm for finding large item sets without candidate generation. Iteratively reduces the minimum support until it finds the required number of rules with the given minimum metric. For more information see: J. Han, J.Pei, Y. Yin: Mining frequent patterns without candidate generation. In: Proceedings of the 2000 ACM-SIGMID International Conference on Management of Data, 1-12, 2000.

(based on WEKA 3.6)

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

Node details

Input ports
  1. Type: Table
    Training data
    Training data

Extension

The FPGrowth (3.6) (legacy) node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
  2. Go to item
  3. Go to item

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