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