Arizona State University, Computer Science and Engineering, Data Mining and Machine Learning
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. INTERACT is a feature selection method based on Inconsistency and Symmetrical Uncertainty Measurements for finding interacting features.
This software package is prepared in Java. It is provided free of charge to the research community as an academic software package with no commitment in terms of support or maintenance. Data may need to be discretized for INTERACT. Please refer to the paper below. A discretization package is also available on our web site.
README provides the details about how to run, how to prepare the data, and how to read the results.
Created on 11/12/2006