Conclusion

Han Liu, Alexander Gegov, Mihaela Cocea

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

Abstract

This chapter summaries the contributions of this book in terms of theoretical significance, practical importance, methodological impact and philosophical aspects. This chapter also identifies and highlights further directions of this research area towards improvement of the research methodologies presented in this book.

Original languageEnglish
Title of host publicationRule Based Systems for Big Data
Subtitle of host publicationA Machine Learning Approach
PublisherSpringer
Pages97-114
Number of pages18
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

  • ensemble learning
  • machine learning
  • rule base
  • rule base system
  • training stage

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