Telecom Fraud Detection Through CDR Using SingleStore Vector Functions

The text discusses the use of SingleStore, a real-time, distributed SQL database built for AI, to detect and prevent telecom anomalies such as frauds. It explains how SingleStore can be used to store and search vector data, which is useful for detecting anomalies in telecom CDR (Call Detail Record) data. The text also describes how to set up the SingleStore database environment, create a pipeline to ingest records into the table, and write a Python program to generate vector embeddings, mark anomalies for different frauds, and visualize the results over time using Plotly. The stored procedure "detectanomaly" is used to detect and mark anomalies in CDR records based on predefined vectors representing specific types of fraud. The threshold value used in the stored procedure can be adjusted according to specific requirements.

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