Data reduction: discretization of numerical attributes

Authors:
Jerzy W. Grzymala-Busse
Affiliations:
Professor of Electrical Engineering and Computer Science, University of Kansas, Lawrence
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

Discretization is the process of converting a numerical attribute into a symbolic attribute by partitioning the attribute domain. This chapter presents the taxonomy of currently developed discretization systems. Discretization techniques based on equal interval frequency, equal interval width, minimum class entropy, minimum description length, and clustering are briefly described. In addition, other methods of discretization are also outlined.