Abstract:

For the current problem of lack of a valid distinction between the seller credit growth patterns,a seller transaction data conversion method is proposed,and the classification model of C2C trading credit growth pattern is proposed.By analyzing the Ecommerce transaction data through the supervision XYF network, the different seller’s credit growth patterns in the same category can be classified.It provides an effective way to identify the seller's fake credit,and also provides a new thought of classifying the seller’s transaction mode.

Key words: e-commerce;C2C transactions;seller’s credit;neural network, pattern