An opensource library for accelerated analytics
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BEYOND TRADITIONAL TIME SERIES ANALYTICS
Discover patterns and anomalies on your data and predict the future
DATA MINING TIME SERIES AT SUPERSPEED
Shapelets incorporates the latest and best performance time series algorithms created by academics so you can distribute and scale them in a parallel fashion
1
Find patterns and unveil the important data
Traditional analytics platforms focus on metrics instead of changes in data
Shapelets offers key accelerated analytics such as pattern recognition (motifs and chains) and anomaly detection (discords) in a horizontal and scalable offer
2
Forecast in a precise, fast and easy way
Predict future trends in your data series in just milliseconds
Shapelets algorithms harness the GPU’s parallel processing power and returns super fast results without any prior training
3
Discover the cause of changes
Changes can be caused by multiple variables that can be interconected
Shapelets' algorithms allow you to establish a cause and effect relationship between a collection of time series and an output in such way that you can explain linear relationships between the inputs that cause an effect on the output
4
Segmentation, clustering and many other algorithms
Explore sequences and find regularities in your data in a domain agnostic manner
Classify your time series and identify variations in sequences according to their shape
Run all these analytics in a parallel fashion to exploit the resources available
