Node Connectivity
There are 2898 nodes that can be used as successor
for a node with an output port of type 
Table.
Apriori (3.7)
Class implementing an Apriori-type algorithm
FPGrowth (3.7)
Class implementing the FP-growth algorithm for finding large item sets without candidate generation
FilteredAssociator (3.7)
Class for running an arbitrary associator on data that has been passed through an arbitrary filter
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
Weka Cluster Assigner (3.7)
The Weka Cluster Assigner takes a cluster model generated in a weka node and assigns the data at the inport to the corresponding clusters.
Weka Predictor (3.7)
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Weka Predictor (3.7) Deprecated
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.