Instance Selection

Instance Selection

Huan Liu (Arizona State University, USA) and Lei Yu (Arizona State University, USA)
Copyright: © 2005 |Pages: 4
DOI: 10.4018/978-1-59140-557-3.ch117
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Abstract

The amounts of data have become increasingly large in recent years as the capacity of digital data storage worldwide has significantly increased. As the size of data grows, the demand for data reduction increases for effective data mining. Instance selection is one of the effective means to data reduction. This article introduces the basic concepts of instance selection and its context, necessity, and functionality. The article briefly reviews the state-of-the-art methods for instance selection.

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