Unique or rare data points (outliers) are especially vulnerable, as they may inadvertently carry identifiable traits from the original dataset. While synthetic data is considered a robust privacy ...

Spread the loveOutliers are data points that are significantly different from the rest of the dataset. These points can have a significant impact on data analysis, as they can obscure patterns and ...

The Data Science Lab Data Prep for Machine Learning: Outliers After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft ...

This article explains how to programmatically identify and deal with outlier data (it's a follow-up to "Data Prep for Machine Learning: Missing Data"). Suppose you have a data file of loan ...