Develop and Assess Unsupervised Anomaly Detection Methods

This projectwas completed as a intern opportunity with HPCC Systems in 2019. Curious about projects we are offering for future internships? Take a look at our Ideas List. 

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The project proposal application period for 2020 summer internships is now open. Please see our list of Available Projects. Contact the project mentor for more information and to discuss your ideas. You may suggest a project idea of your own but it must leverage HPCC Systems in some way. Contact us for support from an HPCC Systems mentor with experience in your chosen project area.

Project Description

Create an ECL Bundle encompassing several widely used Anomaly Detection algorithms.  Identify at least one algorithm that is parallelizable and implement efficiently in ECL:

• Identify a publicly available dataset and method for assessing anomalies in the data
• Research state of the art Anomaly Detection algorithms and choose two or more for implementation
• Implement methods in ECL on HPCC Systems cluster, and assess results in identifying target anomalies.

By the mid term review we would expect you to have:

• To have implemented atelast one algorithm and tested it.