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Received:December 25, 2017 Revised:January 16, 2018
Received:December 25, 2017 Revised:January 16, 2018
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）
| Author Name | Affiliation |
| GAO Xue-Qin | Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China |
| WANG Tao | South China Normal University, Guangzhou 510631, China |
| Author Name | Affiliation |
| GAO Xue-Qin | Guangdong Polytechnic of Industry and Commerce, Guangzhou 510510, China |
| WANG Tao | South China Normal University, Guangzhou 510631, China |
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
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
