Concepedia

Concept

outlier detection

Parents

8.1K

Publications

550.8K

Citations

23.5K

Authors

3.9K

Institutions

About

Outlier detection is a subfield of data science and statistics focused on identifying observations that deviate significantly from the expected pattern or distribution of the majority of the data. This process is crucial for revealing anomalies, errors, or novel insights within datasets across various domains, impacting data quality, security, and scientific discovery.

Top Authors

Rankings shown are based on concept H-Index.

DP

Tsinghua University

GP

Singapore Management University

CL

The University of Melbourne

PJ

University of Antwerp

AZ

Ludwig-Maximilians-Universität München

Top Institutions

Rankings shown are based on concept H-Index.

Tsinghua University

Beijing, China

Pittsburgh, United States

Xidian University

Xi'an, China