Detecting anomalies in big data sets is challenging, but rewarding. When you know to distinguish anomaly from normal - you know your data. In the presentation I will cover our, somewhat novel approach of anomaly detection in big data sets and explain both mathematical and technical difficulties applying it over big data sets. Our approach is about discovering statistical properties of the data sub-sets and finding anomaly ones based on it.
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