Collaborative alert ranking for anomaly detection
© 2018 Association for Computing Machinery. Given a large number of low-quality heterogeneous categorical alerts collected from an anomaly detection system, how to characterize the complex relationships between different alerts and deliver trustworthy rankings to end users? While existing techniques...
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Main Authors: | , , , , , , |
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Format: | Pre-print |
Published: |
2018
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Subjects: | |
Online Access: | http://hdl.handle.net/20.500.12613/4387 |
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