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Outlier detection with partial information: Application to emergency mapping
Davide D'Alimonte
*
, Dan Cornford
*
Corresponding author for this work
Computer Science Research Group
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peer-review
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Dive into the research topics of 'Outlier detection with partial information: Application to emergency mapping'. Together they form a unique fingerprint.
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Mathematics
Emergency
100%
Outlier Detection
97%
Partial Information
88%
Novelty Detection
65%
Background
52%
Outlier
35%
Proportion
32%
Classification Algorithm
17%
Kolmogorov-Smirnov Test
16%
Unknown
15%
Prior Probability
15%
Incomplete Information
14%
Synthetic Data
14%
Bayes
12%
Probability density function
11%
Univariate
10%
Knowledge
9%
Observation
7%
Framework
6%
Standards
6%
Estimate
5%
Earth & Environmental Sciences
outlier
73%
detection
42%
probability density function
15%
distribution
10%
method
6%
test
5%
Engineering & Materials Science
Anomaly detection
75%
Probability density function
23%
Chemistry
Mixture
31%
Application
22%