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Redundancy Detection with Chi-Squared Test
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:doc:`/SingleStepClassifiers/CausalStep/index`

Redundancy detection is an important task in data integration. This step applies the *Chi-Squared Test* to evaluate the correlation between two attributes (for nominal data). A very high Chi-value indicates that one attribute strongly implies the other and may be removed as a redundancy.

.. rubric:: Input Parameters

1. Nominal data

.. rubric:: Output Parameters

1. Redundant attributes

.. rubric:: Workflow

.. image:: workflow.svg


.. rubric:: Algorithm

:doc:`/Algorithms/ChiSquaredTest/index`

.. rubric:: References

- J.\  Han, M. Kamber and J. Pei, Data Mining - Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann Publishers, 2012.