GeneralizedSequentialPatterns (3.6)

Learner

Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set. The attribute identifying the distinct data sequences contained in the set can be determined by the respective option. Furthermore, the set of output results can be restricted by specifying one or more attributes that have to be contained in each element/itemset of a sequence. For further information see: Ramakrishnan Srikant, Rakesh Agrawal (1996). Mining Sequential Patterns: Generalizations and Performance Improvements.

(based on WEKA 3.6)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify associator-specific parameters.

Input Ports

  1. Type: Data
    Training data

Extension

This node is part of the extension

KNIME Weka Data Mining Integration (3.6)

v2.10.2

Short Link

Drag node into KNIME Analytics Platform