Anomaly Detection is a technique used to identify deviations from a standard or expected pattern in various datasets.
Data Analytics in Auditing involves the use of advanced analytical tools to scrutinize data trends and identify anomalies, helping in more effective and efficient audit processes.
An inlier is an observation within a data set that lies within the interior of a distribution but is in error, making it difficult to detect. This term is particularly relevant in the fields of data analysis, statistics, and machine learning.
An in-depth exploration of outliers in statistical data sets, their causes, implications, and how to manage them.
