Saturday, April 26, 2025

Anomaly/change detection hackathon proposal

ANNOUNCEMENT 

Objective: The goal of this hackathon is to identify change points and/or anomalies within a provided time-stamped dataset. This analysis will reveal distinct phases and patterns within the data.


Tools and Methods:

  • Participants are encouraged to utilize any tools, libraries, or packages (e.g., R, Python) for change point and anomaly detection.

  • Alternatively, participants can use the free Change Point Detection API via Postman (postman.com), as detailed below.

Resources:


Hackathon Details:

  • Time Limit: 3 hours to complete the task.

  • Judging: CMG experts will evaluate the results.

  • Award: The winner will receive an award and the opportunity for a short presentation.

  • Vendor Participation: Vendors of similar tools are welcome to participate.


Visualization:

  • Results can be visualized using spreadsheet charting tools (Excel, Google Sheets) or other methods (e.g., Python, R).

  • Examples of visualizations will be provided below:

#ICPE2026 workshop presentation "Detecting past and future change points in performance data for education and practice"

  Excited to share that we will be presenting at the ICPE 2026 Workshop (WEPPE) on May 4th in Florence, Italy. Our talk, "Detecting pas...