Node Connectivity
There are 2862 nodes that can be used as successor
for a node with an output port of type 
Table.
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 […]
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 […]
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 […]
Weka Cluster Assigner (3.6) (legacy)
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 (3.6) (legacy)
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Weka Predictor (3.6) (legacy)
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
A1DE (3.7)
AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less […]
A1DEUpdateable (3.7)
AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less […]