On the nature and types of anomalies: a review of deviations in data

• Published in: International journal of data science and analytics Vol. 12; no. 4; pp. 297 - 331
• Main Author: Foorthuis, Ralph
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.10.2021
• Subjects: Artificial Intelligence; Business Information Systems; Computational Biology/Bioinformatics; Computer Science; Data Mining and Knowledge Discovery; Database Management; Review; Outliers; Typology; Explainable data science; Deviants; Anomaly detection; Anomalies

Anomalies are occurrences in a dataset that are in some way unusual and do not fit the general patterns. The concept of the anomaly is typically ill defined and perceived as vague and domain-dependent. Moreover, despite some 250 years of publications on the topic, no comprehensive and concrete overv...