On the Improvement of the Isolation Forest Algorithm for Outlier Detection with Streaming Data

In recent years, detecting anomalies in real-world computer networks has become a more and more challenging task due to the steady increase of high-volume, high-speed and high-dimensional streaming data, for which ground truth information is not available. Efficient detection schemes applied on netw...

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Bibliographic Details
Main Authors: Michael Heigl, Kumar Ashutosh Anand, Andreas Urmann, Dalibor Fiala, Martin Schramm, Robert Hable
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/13/1534