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Fraud Detection in Telecom via Clustering by surendiran123 is a document available to read on EtoBox.

This document discusses fraud detection in telecommunications using data mining clustering techniques and genetic algorithms. It provides context on the rapid growth of telecommunications and the need for companies to use data mining to understand customer behavior and identify fraud. The proposed method involves using sequential pattern mining algorithms and clustering techniques with genetic algorithms to identify fraudulent patterns in telecommunications data.

Author
surendiran123
Language
EN