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Review of Single Imputation and Multiple Imputation Techniques for Handling Missing Values

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Proceedings of Third Emerging Trends and Technologies on Intelligent Systems (ETTIS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 730))

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Abstract

Missing values are a common cause of poor data quality. When not handled properly, it can interrupt data pipelines and have a disastrous impact on Data Mining, Machine Learning (ML) and Statistical applications. To draw reliable and accurate inferences from the data, missing values must be treated correctly. Adoption of any imputation technique needs a thorough understanding of the underlying assumptions and rules followed by the technique. Most of the earlier reviews are based on statistical and ML techniques, but none of these reviewed and discussed single imputation (SΙ) and multiple imputation (MI) techniques in detail. This paper aims to review the SI and MI techniques for handling missing values which will give researchers an overview and motivate them to use these techniques in their research study.

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Author information

Authors and Affiliations

  1. University School of Information, Communication and Technology, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India

    Kavita Sethia, Anjana Gosain & Jaspreeti Singh

Authors
  1. Kavita Sethia
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  2. Anjana Gosain
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  3. Jaspreeti Singh
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Corresponding author

Correspondence to Kavita Sethia .

Editor information

Editors and Affiliations

  1. Education & Training, CDAC, Noida, India

    Arti Noor

  2. Education & Training, CDAC, Noida, Uttar Pradesh, India

    Kriti Saroha

  3. Automatic Control, Computers and Electronics Department, Petroleum-Gas University of Ploiesti, Ploiesti, Romania

    Emil Pricop

  4. Computing Science and Information Technology, Kwantlen Polytechnic University, Surrey, BC, Canada

    Abhijit Sen

  5. EEE Department, IIT Guwahati, Guwahati, India

    Gaurav Trivedi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sethia, K., Gosain, A., Singh, J. (2023). Review of Single Imputation and Multiple Imputation Techniques for Handling Missing Values. In: Noor, A., Saroha, K., Pricop, E., Sen, A., Trivedi, G. (eds) Proceedings of Third Emerging Trends and Technologies on Intelligent Systems. ETTIS 2023. Lecture Notes in Networks and Systems, vol 730. Springer, Singapore. https://doi.org/10.1007/978-981-99-3963-3_4

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