@inbook{b3974f7c90bc43e487fcc2d3aebf924d,
title = "Introduction to Missing Data Estimation",
abstract = "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.",
author = "Leke, {Collins Achepsah} and Tshilidzi Marwala",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",
year = "2019",
doi = "10.1007/978-3-030-01180-2_1",
language = "English",
series = "Studies in Big Data",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--20",
booktitle = "Studies in Big Data",
address = "Germany",
}