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Feature bagging for outlier detection
Aleksandar Lazarevic
,
Vipin Kumar
Computer Science and Engineering
Research output
:
Contribution to conference
›
Paper
›
peer-review
573
Scopus citations
Overview
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Dive into the research topics of 'Feature bagging for outlier detection'. Together they form a unique fingerprint.
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Keyphrases
Outlier Detection
100%
Feature Bagging
100%
Outlier Score
33%
Multiple Outlier Detection
33%
Industrial Application
16%
Real-life Data
16%
Financial Applications
16%
Detecting Outliers
16%
Bagging Approach
16%
Outlier Detector
16%
Computer Science
Outlier Detection
100%
Detection Algorithm
66%
Data Record
16%
Basis Algorithm
16%
Detecting Outlier
16%
Engineering
Outlier Detection
100%
Detection Algorithm
66%
Real Life
16%
Smaller Subset
16%