###
计算机系统应用:2018,27(8):119-125
本文二维码信息
码上扫一扫!
电子商务网站违法行为监管平台
高学勤1, 王涛2
(1.广东工贸职业技术学院, 广州 510510;2.华南师范大学, 广州 510631)
E-Business Website Illegal Behaviors Supervision Platform
GAO Xue-Qin1, WANG Tao2
(1.Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China;2.South China Normal University, Guangzhou 510631, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 44次   下载 35
投稿时间:2017-12-25    修订日期:2018-01-16
中文摘要: 针对当前网络交易违法现象人工识别、排查难的监管问题,本文通过运用互联网搜索引擎、文本检索、数据挖掘以及bloom过滤技术设计了电子商务网站违法行为监管平台.该平台支持对电子商务网络经济主体网站的识别与建库、网络违法经营行为与网络违法广告行为的自动排查、电子标识亮照与防伪检测等功能,在实践应用中,该平台充分表现出明显高于人工监管的效率与优势,提升了网络违法案件的查处效率.
Abstract:According to the manual recognition and identification difficulty of the E-business illegal behavior, an E-business supervision platform is developed through the use of the internet search engine, text retrieval, data mining, and bloom filtering technologies. This platform supports the identification and establishment of the E-business economic subject database, the illegal E-business behavior and advertising behavior search. It also realizes the electronic identification display and anti-fake detection. This platform shows better efficiency and superiority than manual working in practice.
文章编号:     中图分类号:    文献标志码:
基金项目:广东省工商局课题(GPCGD103117FG257F)
引用文本:
高学勤,王涛.电子商务网站违法行为监管平台.计算机系统应用,2018,27(8):119-125
GAO Xue-Qin,WANG Tao.E-Business Website Illegal Behaviors Supervision Platform.COMPUTER SYSTEMS APPLICATIONS,2018,27(8):119-125

用微信扫一扫

用微信扫一扫