Introduction to Missing Data Estimation

Collins Achepsah Leke, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Citations (Scopus)


This chapter describes in detail the problem of missing data. It also describes the different missing data patterns and mechanisms. This is followed by a discussion of the classical missing data techniques ensued by a presentation of machine learning approaches to address the missing data problem. Subsequently, machine learning optimization techniques are presented for missing data estimation tasks.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
Publication statusPublished - 2019

Publication series

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Artificial Intelligence


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