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This project is available as a student work experience opportunity with HPCC Systems this summer. Curious about other projects we are offering? Take a look at our Ideas List. 

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The project proposal application period for 2019 summer internships is now open! The deadine date for proposals is Friday 29th March 2019. To get notifications, subscribe to our Community Forum.

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.
Mentor

Roger Dev
Contact Details

Backup Mentor: TBD
Contact Details 

Skills needed
  • Knowledge of ECL. Training manuals and online courses are available on the HPCC Systems website.
  • Knowledge of distributed computing techniques
  • Knowledge of anomaly detection algorithms
Deliverables
  • Checked in code for the implementation in github
  • Determine an appropriate dataset for testing the algorithms.
  • Test code demonstrating the correctness and performance of the algorithm.
  • Supporting documentation.
Other resources