Whether you want to analyze sensor data, operational equipment data, human or animal behavioral data, transactions, market trends, environmental conditions, or any other time series data, you want to discover the interesting anomalies and the recurring motifs that help you understand and manage outcomes. There are many challenges to find these patterns:
- Finding patterns in long time series or across millions individual time series
- Finding patterns across many dimensions
- Interactively explore the time series to discovery patterns of interest
- Compare whole time series or individual segments within time series
- Making periodic patterns comparisons
- Understanding the differences between the discovered patterns.
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