Oui! Outlier Interpretation on Multi‐dimensional Data via Visual Analytics

• Published in: Computer graphics forum Vol. 38; no. 3; pp. 213 - 224
• Main Authors: Zhao, Xun, Cui, Weiwei, Wu, Yanhong, Zhang, Haidong, Qu, Huamin, Zhang, Dongmei
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.06.2019
• Subjects: Algorithms; Analytics; Categories and Subject Descriptors (according to ACM CCS); Cybersecurity; Data analysis; Datasets; Dimensional analysis; Domains; H.5.2 [Information Interfaces and Presentations]: User Interfaces—Graphics user interfaces (GUI); Outliers (statistics); Public health

Outliers, the data instances that do not conform with normal patterns in a dataset, are widely studied in various domains, such as cybersecurity, social analysis, and public health. By detecting and analyzing outliers, users can either gain insights into abnormal patterns or purge the data of errors...