E-commerce website cheat user identification method and system based on random forest algorithm
An e-commerce website, random forest algorithm technology, applied in business, computing, data processing applications, etc., can solve problems such as reducing the complexity of Bayesian network construction, and achieve clear calculation results, fast running speed, and guaranteed integrity. Effect
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[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, some terms involved in the present invention will be briefly explained below.
[0027] Tree: Each tree in the random forest algorithm is actually a decision tree based on the CART algorithm;
[0028] Forest: A forest is composed of n decision trees, n can be set by yourself, and the default n=500;
[0029] User: transaction user of e-commerce website.
[0030] The present invention is an e-commerce website fraud user identification system based on random forest algorithm. The system includes a sequentially connected e-commerce website user data processing module, user data storage module, user data analysis module, and result display module.
[0031] see figure 1 , a schematic structural diagram of an e-commerce website fraud user identification system based on a random forest algorithm according to the present invention, specifically including the fol...
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