[NEW ALGORITHM] Real-Time Anomaly Detection in Time Series Data using Rolling Z-Scores

[skanarul8002]

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Name

Real-Time Anomaly Detection in Time Series Data using Rolling Z-Scores

About

This algorithm identifies anomalies in time series data in real-time by calculating rolling Z-scores, where each data point’s deviation from a rolling mean and standard deviation is assessed. Anomalies are flagged based on a threshold, which can be tuned based on the specific application.

Labels

new algorithm, gssoc-ext, hacktoberfest, level1

Assignees

• [x] Contributor in GSSoC-ext
• [x] Want to work on it

[github-actions[bot]]

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[skanarul8002]

i would like to work on this issue.

[pankaj-bind]

assigned