Article
Article
Data reduction
Article By:
Couto, Julia University of Georgia, Athens, Georgia.
Last reviewed:January 2020
DOI:https://doi.org/10.1036/1097-8542.180960
The techniques used to transform massive datasets into a more suitable, or smaller, form for data analysis, while preserving the intrinsic characteristics of the data and minimizing the loss of accuracy. Data reduction is used for scientific computation, statistical analysis, control of industrial processes, and business applications, as well as in data mining. Many data reduction techniques focus on obtaining an approximate representation of the data, others on reducing the size of the original data. See also: Data mining; Database management system
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