Association Rules
This category contains 6 nodes.
Apriori (3.6) (legacy)
Class implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules with the given minimum […]
FilteredAssociator (3.6) (legacy)
Class for running an arbitrary associator on data that has been passed through an arbitrary filter. Like the associator, the structure of the filter is […]
FPGrowth (3.6) (legacy)
Class implementing the FP-growth algorithm for finding large item sets without candidate generation. Iteratively reduces the minimum support until it finds […]
GeneralizedSequentialPatterns (3.6) (legacy)
Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the distinct data sequences […]
PredictiveApriori (3.6) (legacy)
Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold for the best 'n' rules […]
Tertius (3.6) (legacy)
Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P. A. Flach, N. Lachiche (1999). Confirmation-Guided […]