Fraud number identification method and system based on convolutional neural network
A convolutional neural network and identification method technology, which is applied in the field of calling number security identification in communication, can solve the problems of large amount of call data, difficulty in identifying fraudulent numbers, and difficulty in obtaining in-depth features for statistical analysis solutions, and achieve accurate identification results. Effect
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[0030] The present invention will be further clarified below in conjunction with the drawings and specific embodiments.
[0031] Such as figure 1 As shown, the present invention discloses a fraud number recognition method based on convolutional neural network, including:
[0032] Step 1. Establish training sample set and verification sample set: Obtain multiple numbers known as customer service numbers, private numbers, and fraud numbers, and obtain call data for each number for N consecutive days. The call data for one day includes M Call features, construct an N*M feature matrix for each number; convert the feature matrix of each number into a feature map, and the feature map and the category label of the corresponding number form a sample; divide the acquired sample into training Sample set and verification sample set;
[0033] In this embodiment, the call data for each number for 15 consecutive days is acquired, the acquired call data is cleaned, and the corrupted data is delete...
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