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Monitor the Lifecycle of a customer from the beginning to the end
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Detect New Fraud Techniques that were never seen before |
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Learn from Historical Data
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Discover the Hidden Patterns
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Calculate the potential fraud risk of the different customers
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Compute the long-term survival probability of your customers
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Find the key players of your network
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Identify the critical links and connections between your customers
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Identify suspicious and pre-defined connection structures/patterns in your customer network
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Predict future events and suspicious connections between your customers.
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Detect the strongly connected customer groups and the key players between groups
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Extract the time-dependent connection changes from the customer network
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Compute the distance and behavioral similarity of the customers to previous suspicious events.
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Discover and Simulate the customer behavioral patterns
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