Representation of classification rules

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


As mentioned in Chap. 1, appropriate rule representation is necessary in order to improve model efficiency and interpretability. This chapter introduces three techniques for representation of classification rules namely, decision trees, linear lists and rule based networks. In particular, these representations are illustrated using examples in terms of searching for firing rules. These techniques are also discussed comparatively in terms of computational complexity and interpretability.

Original languageEnglish
Title of host publicationRule Based Systems for Big Data
Subtitle of host publicationA Machine Learning Approach
Number of pages12
ISBN (Electronic)9783319236964
ISBN (Print)9783319236957, 9783319370279
Publication statusPublished - 17 Sept 2015

Publication series

NameStudies in Big Data
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

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