Anomaly Detection using Apache Spark 2019-07-01T12:05:11+00:00
Spark based Anomaly Detection

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.

Deploy the Anomaly Detection Solution on Apache Spark Today!

Download Setup Instructions

Check out on GitHub
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