Anomaly Detection

The technique to identify unusual patterns that do not conform to expected behavior

Hours total

1640

Technical Stack

PCA, K-means, DTW, Deep learning, Ensembles, SVM

Services Involved

Dedicated Team

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OVERVIEW

Using common statistical methods to model what is normal is quite an easy task for systems with simple data patterns, anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior.

CHALLENGE

To find unusual, rarely occurring events or data for which little is known in advance.

Solution

To provide an effective way to measure similarity between samples using generative models for probability estimate.

Results

Development of a highly accurate detector of anomalies which speeds up a regular processing algorithms, finds algorithm defects, increases system stability and creates a customized processing routine which takes care of anomalies.

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