Applied Data Science for Predictive Time Series Analytics - Nesime Tatbul

Applied Data Science for Predictive Time Series Analytics - Nesime Tatbul

Association for Computing Machinery (ACM) via YouTube Direct link

Time Series Analytics: Challenges

4 of 19

4 of 19

Time Series Analytics: Challenges

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Applied Data Science for Predictive Time Series Analytics - Nesime Tatbul

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  1. 1 Intro
  2. 2 An Example: Cloud Observability
  3. 3 Observability Case Study: slack
  4. 4 Time Series Analytics: Challenges
  5. 5 Talk Overview Time Series Anomaly Detection & Explanation • Evaluation & Benchmarking Tools
  6. 6 Anomaly Detection and Explanation
  7. 7 Time Series Anomalies: Two Key Observations
  8. 8 Precision and Recall for Time Series
  9. 9 Customization Examples
  10. 10 Selected Experimental Results
  11. 11 Use Case: Spark Application Monitoring
  12. 12 Example Input Anomalies (T1-T3)
  13. 13 Evaluating the AD Levels
  14. 14 Exathlon's Benchmarking Platform -End-to-end data science pipeline design & implementation for explainable AD . Modular and extensible platform for experimentation & analysis [6]
  15. 15 The First Experimental Study with Exathlon [7]
  16. 16 Visual Exploration of Anomalies with METRO-VIZ
  17. 17 Data Debugging with DAGGER (aka, "GDB for Data")
  18. 18 Summary Tools for Time Series Analytics
  19. 19 Time Series in Future Al Systems

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