A survey on missing data in machine learning

• Published in: Journal of big data Vol. 8; no. 1; pp. 140 - 37
• Main Authors: Emmanuel, Tlamelo, Maupong, Thabiso, Mpoeleng, Dimane, Semong, Thabo, Mphago, Banyatsang, Tabona, Oteng
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 27.10.2021; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Big Data; CAI; Communications Engineering; Computational Science and Engineering; Computer assisted instruction; Computer Science; Data collection; Data Mining and Knowledge Discovery; Database Management; Human error; Imputation; Information Storage and Retrieval; Machine learning; Mathematical Applications in Computer Science; Missing data; Networks; Power plants; Survey Paper; Missing data; Imputation; Machine learning

Machine learning has been the corner stone in analysing and extracting information from data and often a problem of missing values is encountered. Missing values occur because of various factors like missing completely at random, missing at random or missing not at random. All these may result from...