Data processing to remove outliers and inliers: A systematic literature study
Fernando Alves,
Eduardo G. de Souza,
Ricardo Sobjak
et al.
Abstract:Outliers and inliers often arise during sample data acquisition. While outliers represent anomalous observations, inliers are erroneous data points within the main body of the dataset. It was aimed to conduct a systematic literature study (SLS) to survey methods and software employed for outlier and inlier removal, particularly within exploratory data analysis. The study was conducted in three phases: (i) systematic literature mapping (SLM), (ii) snowballing (SB), and (iii) SLR. Initially, 772 scientific studi… Show more
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