Anomaly Detection in Telecom using Isolation Forest


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What's in the Whitepaper?

Anomaly detection is a process that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents such as a technical glitch as well as potential business opportunities like the right channel to use when offering a customer discount.

In theory, patterns are defined by certain parameters that affect the behavior of overall data. These parameters characterize normal data behavior and thus, identifying these parameters becomes crucial to identify anomalies in the data. However, in the practical world, scenarios rarely follow strict patterns. Ever-changing market forces are constantly reshaping what is ‘normal.’ For enterprise data to be effective, it is important to know how, when and whether to respond to changing dynamics and anomalies play a vital role in enabling this business responsiveness. The whitepaper covers the following:-

Techniques used in anomaly detection
• How to detect anomalies using Isolation Forest
• Applications of anomaly detection in the telco industry

Download the whitepaper to know more!