Unsupervised Real-Time Stream-Based Novelty Detection Technique
High-load systems produce lots of telemetry information in every time slot. That is quite a challenge to say if the working load has changed significantly right now or everything runs as expected. This presentation covers the novelty detection technique used for cloud systems that combines non-real-time learning with real-time estimation ensemble.
- Researcher, Lead of DataOps team at Oracle
- Adores Lewis Carroll: "...it takes all the running you can do, to keep in the same place. If you want to get somewhere else, you must run at least twice as fast as that!"(c)
- Researcher, Data Scientist at Oracle, Associated Professor, PhD
- Inspired by the potential and opportunities introduced by Big Data & Machine Learning