In this part of our network anomaly detection series we want to compare two basically different styles of learning. The very first post introduced the simple k-means [...]
Über Julian KeppelBig data scientist interested in developing data-intensive applications with Java, Scala and the Apache Spark framework.
The previous two posts gave a short introduction of network anomaly detection in general. We also introduced the k-means algorithm as a simple clustering technique an [...]
In the previous post we talked about network anomaly detection in general and introduced a clustering approach using the very popular k-means algorithm. In this blog [...]
Real-time detection of anomalies in computer networks with methods of machine learning: Stop the (data)-thief!Julian Keppel 2017-11-27T15:18:05+00:00
This blog post shows some results and concepts of a master’s thesis here at inovex. It describes some basic concepts and shows a prototypical architecture for detecti [...]
Im Rahmen eines Research-Projektes wurde die Implementierung und Praxistauglichkeit von HyperLogLog auf Apache Spark Streaming mithilfe eines einfachen Prototyps unte [...]