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

Inactive Publication Date: 2014-03-26
FOCUS TECH +1
View PDF2 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this assumption limits the scope of application of the Naive Bayesian model to a certain extent, in practical applications, this model not only greatly reduces the complexity of Bayesian network construction, but also in many cases that do not meet this assumption , Naive Bayes also shows considerable robustness and efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • E-commerce website cheat user identification method and system based on random forest algorithm
  • E-commerce website cheat user identification method and system based on random forest algorithm
  • E-commerce website cheat user identification method and system based on random forest algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an e-commerce website cheat user identification method and system based on a random forest algorithm. The system comprises an e-commerce website user data processing module, an e-commerce website user data storage module, an e-commerce website user data analysis module and a result display module, wherein the e-commerce website user data processing module, the e-commerce website user data storage module, the e-commerce website user data analysis module and the result display module are connected in sequence. The method includes the steps of data collection, data pre-processing, data conversion, data analysis, data display and the like. On the basis of the random forest algorithm in a machine learning method, static data and dynamic data of a user are collected, data mining and data analysis are carried out fast, and not only are completeness, continuousness and effectiveness of information of the user guaranteed, but also a good classification result is obtained.

Description

technical field [0001] The invention belongs to the field of e-commerce, in particular to a method and system for identifying fraudulent users of an e-commerce website based on a random forest algorithm. Background technique [0002] With the rapid development of information technology and the expansion of the Internet, the concept of the traditional market has undergone tremendous changes in the scope of quantity: it is manifested in the expansion of the time dimension and the expansion of the space dimension. The market boundaries formed by differences in geography, politics, and concepts in traditional markets have become increasingly blurred, and the rapid development of the Internet has enabled high-level sharing of information, further weakening the obstacles for people to cross time and space. E-commerce was born under this background It has grown rapidly with the development of the Internet and has become increasingly mature after entering the 21st century. E-commer...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/00
CPCG06F16/35G06F16/337G06Q30/0185
Inventor 李莉郑一曼蒋巧娜黄建鹏
Owner FOCUS TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap