Case studies

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

Abstract

This chapter introduces three case studies of big data. In particular, the methods and techniques introduced in Chaps. 3, 4, 5 and 6 are evaluated through theoretical analysis and empirical validation using large data sets in terms of accuracy, efficiency and interpretability.

Original languageEnglish
Title of host publicationRule Based Systems for Big Data
Subtitle of host publicationA Machine Learning Approach
PublisherSpringer
Pages81-95
Number of pages15
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

  • actual sample size
  • random classifier
  • time complexity
  • time complexity analysis
  • training stage

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