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Call Detail Record (CDR) is the information captured by the telecom companies during the Call, SMS and Internet activity. These information’s provides insights about the customer needs when it is used with customer demographics. Most of the telecom companies using call detail record information in the fraud detection by clustering the user profiles, Customer churn by usage activity and targeting the profitable customers by using RFM analysis.
Fraud Detector enables to bring fraud detection service for telephone communication such as malicious calls from thefts who are acting sons and daughters. To block the fraud, this solution can provide fraud detection system using voice recognition, natural language processing and machine learning. The user who subscribes this service can get score for "fraud-ness" from the system and he/she recognize whether the last call was from real son or not.
Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.
This Repository contains the R programs for my academic project called Kaggle TalkingData AdTracking Fraud Detection under subject Knowledge Discovery and Data Mining.
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