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A review of the current publication trends on missing data imputation over three decades: direction and future research

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Abstract

Studies on missing data have increased in the past few decades. It is an uncontrollable phenomenon and could occur during the data collection in practically any research field. Numerous missing data imputation techniques are well documented in the literature. However, very few studies have systematically examined the evolutionary nuances of a specific area while offering insight into the emerging imputation methods in that field. The primary objective of this paper is to provide a comprehensive review of studies concerning missing data imputation methods in classification problems from several viewpoints: (a) publication trends (by year, subject area, country, document language, and author), (b) keyword analysis, (c) the most cited documents and (d) the most influenced authors. Bibliometric analysis has been conducted using VOSviewer and Harzing Publish or Perish software, covering 430 journal articles published in Scopus from 1991 to June 2021. One of the findings reveals an emerging trend in missing data imputation methods using random forest and nearest neighbor. Above all, this research is a valuable resource for gaining insights into the available imputation techniques at a glance.

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The papers analyzed in this study are available in the Scopus database.

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Funding

This work was supported under the Collaborative Research Grant (CRG) scheme between Universiti Teknologi Malaysia (Q. K130000.2456.08G27) and Universiti Malaysia Perlis (9023-00013). This work also was funded by the Ministry of higher Education, Malaysia under Fundamental Research Grant Scheme (FRGS/1/2021/TK0/UTM/02/45).

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  1. Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia Kuala Lumpur, 54100, Kuala Lumpur, Malaysia

    Farah Adibah Adnan & Khairur Rijal Jamaludin

  2. Institute of Engineering Mathematics, Faculty of Applied and Human Sciences, Universiti Malaysia Perlis, 02600, Arau, Malaysia

    Farah Adibah Adnan & Wan Zuki Azman Wan Muhamad

  3. Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia

    Suraya Miskon

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FAA conducted the literature search review, analyzed the extracted data obtained from the Scopus database, and write the first draft of the manuscript. KRJ and WZAWM provided direction for the bibliometrics review and criticize the contents. SM revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Farah Adibah Adnan.

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Adnan, F.A., Jamaludin, K.R., Wan Muhamad, W.Z.A. et al. A review of the current publication trends on missing data imputation over three decades: direction and future research. Neural Comput & Applic 34, 18325–18340 (2022). https://doi.org/10.1007/s00521-022-07702-7

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