论文信息 - Generation of Classification Rules

Generation of Classification Rules

As mentioned in Chap. 1, rule generation can be done through the use of the two approaches: divide and conquer and separate and conquer. This chapter describes the two approaches of rule generation. In particular, the existing rule learning algorithms, namely ID3, Prism and Information Entropy Based Rule Generation (IEBRG), are illustrated in detail. These algorithms are also discussed comparatively with respects to their advantages and disadvantages.

Han Liu | Mihaela Cocea | Alexander Gegov

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