Anomaly Detection using Apache Spark 2018-12-06T12:05:38+00:00
Outlier Detection in Web Server Logs

Anomaly Detection using Apache Spark

– Pre-Packaged Solution with Sample Data

This is an Apache Spark based Anomaly Detection implementation for data quality, cybersecurity, fraud detection, and other such business use cases. The Machine Learning algorithms with advanced analytics processes not only detect anomalies and outliers but also predict upcoming possible anomalies in the future.

The included statistical models are:

  • Z score,
  • Robust Z score,
  • Multivariate Non Parametric Distribution and
  • Univariate Non Parametric Distribution.

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