Call Detail Record Analysis – K-means Clustering with R

@machinelearnbot 

Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. Most of the telecom companies use CDR information for fraud detection by clustering the user profiles, reducing customer churn by usage activity, and targeting the profitable customers by using RFM analysis. The actual dataset contains 8 numerical features about SMS in and out activity, call in and out activity, Internet traffic activity, square grid ID where the activity has happened, country code, and timestamp information about when the activity has been started. Here, K-means is applied among "total activity and activity hours" to find the usage pattern with respect to the activity hours.

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