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Discretization of Rational Data

Discretization of Rational Data

Jonathan Mugan, Klaus Truemper
Copyright: © 2008 |Pages: 23
ISBN13: 9781599045283|ISBN10: 1599045281|EISBN13: 9781599045306
DOI: 10.4018/978-1-59904-528-3.ch001
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MLA

Mugan, Jonathan, and Klaus Truemper. "Discretization of Rational Data." Mathematical Methods for Knowledge Discovery and Data Mining, edited by Giovanni Felici and Carlo Vercellis, IGI Global, 2008, pp. 1-23. https://doi.org/10.4018/978-1-59904-528-3.ch001

APA

Mugan, J. & Truemper, K. (2008). Discretization of Rational Data. In G. Felici & C. Vercellis (Eds.), Mathematical Methods for Knowledge Discovery and Data Mining (pp. 1-23). IGI Global. https://doi.org/10.4018/978-1-59904-528-3.ch001

Chicago

Mugan, Jonathan, and Klaus Truemper. "Discretization of Rational Data." In Mathematical Methods for Knowledge Discovery and Data Mining, edited by Giovanni Felici and Carlo Vercellis, 1-23. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-528-3.ch001

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Abstract

Frequently, one wants to extend the use of a classification method that, in principle, requires records with True/False values, so that records with rational numbers can be processed. In such cases, the rational numbers must first be replaced by True/False values before the method may be applied. In other cases, a classification method in principle can process records with rational numbers directly, but replacement by True/False values improves the performance of the method. The replacement process is usually called discretization or binarization. This chapter describes a recursive discretization process called Cutpoint. The key step of Cutpoint detects points where classification patterns change abruptly. The chapter includes computational results, where Cutpoint is compared with entropy-based methods that, to date, have been found to be the best discretization schemes. The results indicate that Cutpoint is preferred by certain classification schemes, while entropy-based methods are better for other classification methods. Thus, one may view Cutpoint to be an additional discretization tool that one may want to consider.

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