Node Connectivity
There are 2898 nodes that can be used as successor
for a node with an output port of type 
Table.
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 […]
A2DE (3.7)
A2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less […]