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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Bibliographic Details
Main Authors: Lin, Y, Chen, Z, Cao, C, Tang, LA, Zhang, K, Cheng, W, Li, Z
Format: Pre-print
Published: 2018
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Online Access:http://hdl.handle.net/20.500.12613/4387
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