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Anomaly Detection Benchmark.pdf

1510.03336.pdf
Preview of Anomaly Detection Benchmark
🔗 Source: arxiv.org
📊 Size: 2.26 MB
👤 Author: Subutai Ahmad
⬇️ Downloads: 196

Summary

The Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating real-time anomaly detection algorithms on streaming data, providing a controlled and repeatable environment with open-source tools to test and measure anomaly detection algorithms. NAB includes a scoring system and a dataset with labeled, real-world time-series data from multiple domains, and evaluates detectors based on their ability to detect anomalies as soon as possible, trigger no false alarms, and adapt to changing statistics. The benchmark aims to provide a standard framework for comparing and evaluating different algorithms for detecting anomalies in streaming data.

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Description

The Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating real-time anomaly detection algorithms on streaming data, providing a controlled and...

Technical Information

  • File Format: PDF
  • File Size: 2.26 MB
  • Pages: 8
  • Language: EN
  • Author: Subutai Ahmad
  • Total Downloads: 196
  • Last Updated: 4 weeks ago

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This PDF document about Anomaly Detection Benchmark provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Anomaly Detection Benchmark.

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