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It will ultimately improve the accuracy and validity of the data analysis. The prime objective of this study is to propose an imputation model. This paper presents a method for imputing missing employee data through a combination of features and probability calculations. The study utilized employee datasets that were collected from the Kaggle along with primary data collected from RMG factories located in Chittagong. The suggested algorithm demonstrated a notable level of accuracy on the datasets, and the average accuracy for each identified technique was also quite satisfactory. This study contributes to the existing body of research on missing data imputation in big data analysis and offers practical implications for handling missing data in different datasets. Usage of this technique will enhance the accuracy of data analysis and decision-making in organizations.<\/jats:p>","DOI":"10.1155\/2024\/4737963","type":"journal-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T23:50:06Z","timestamp":1705708206000},"page":"1-15","source":"Crossref","is-referenced-by-count":6,"title":["A Probabilistic Approach for Missing Data Imputation"],"prefix":"10.1155","volume":"2024","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9869-3981","authenticated-orcid":true,"given":"Muhammed Nazmul","family":"Arefin","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, International Islamic University Chittagong, Chattogram 4318, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8642-5688","authenticated-orcid":true,"given":"Abdul Kadar Muhammad","family":"Masum","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, Daffodil International University, Dhaka 1216, Savar, Bangladesh"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1145\/2972958.2972967"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3978\/j.issn.2305-5839.2015.12.11"},{"key":"3","doi-asserted-by":"crossref","DOI":"10.1016\/S1573-4412(07)06075-8","volume-title":"Chapter 75 the Econometrics of Data Combination","author":"G. 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