Association Rules
This category contains 7 nodes.
Apriori (3.7)
Class implementing an Apriori-type algorithm
FilteredAssociator (3.7)
Class for running an arbitrary associator on data that has been passed through an arbitrary filter
FPGrowth (3.7)
Class implementing the FP-growth algorithm for finding large item sets without candidate generation
GeneralizedSequentialPatterns (3.7)
Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the distinct data sequences […]
HotSpot (3.7)
HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest
PredictiveApriori (3.7)
Class implementing the predictive apriori algorithm to mine association rules. It searches with an increasing support threshold for the best 'n' rules […]
Tertius (3.7)
Finds rules according to confirmation measure (Tertius-type algorithm). For more information see: P