Interpretability analysis

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

Abstract

Chapter 1 stressed the significance of interpretability for the purpose of knowledge discovery. This chapter introduces theoretical aspects of interpretability on rule based systems. In particular, some impact factors are identified and how these factors have an impact on interpretability is also analyzed. In addition, some criteria for evaluation on interpretability are also listed.

Original languageEnglish
Title of host publicationRule Based Systems for Big Data
Subtitle of host publicationA Machine Learning Approach
PublisherSpringer
Pages75-80
Number of pages6
Edition1st
ISBN (Electronic)9783319236964
ISBN (Print)9783319236957, 9783319370279
DOIs
Publication statusPublished - 17 Sept 2015

Publication series

NameStudies in Big Data
Volume13
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

Keywords

  • identified impact factors
  • linear list
  • neural network learning Methods
  • rule learning methods
  • term rule

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