Outlier Summarization is a data summarization method that identifies and represents anomalous data points deviating significantly from the majority pattern, thereby enabling concise interpretation of rare or exceptional instances within a dataset.
4
Publications
83
Citations
21
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
Publications
4
A comprehensive platform for analyzing longitudinal multi-omics data
Suhas Vasaikar, Adam K. Savage, Qiuyu Gong et al. · Nature Communications · 2023 · 44 citations · Full text
Spatiotemporal summarization of traffic data streams
Bei Pan, Ugur Demiryurek, Farnoush Banaei‐Kashani et al. · 2010 · 13 citations
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Authors
21
- AD
2
h-index
- AN
2
h-index
- PS
2
h-index
- LT
1
h-index
- AT
1
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1–5 of 21
Institutions
6
Lodz University of Technology
Lodz, Poland
2 h-index
6 publications
78 citations
Allen Institute for Immunology
Seattle, United States
1 h-index
14 publications
616 citations
Allen Institute
Seattle, United States
1 h-index
2 publications
88 citations
GlaxoSmithKline (United States)
Philadelphia, United States
1 h-index
1 publications
44 citations
University of Washington
Seattle, United States
1 h-index
1 publications
44 citations
University of Southern California
Los Angeles, United States
1 h-index
4 publications
52 citations
Guilin University of Electronic Technology
Guilin, China
1 publications
10 citations
Guilin University of Technology
Guilin, China
1 publications
10 citations
1–8 of 6
Venues
- International Journal of Intelligent Systems
2 publications · 26 citations
2
h-index
- Nature Communications
1 publications · 44 citations
1
h-index
- Concurrency and Computation Practice and Experience
1 publications · 10 citations
1–3