摘要
僵尸企业带来了严重的资源占用问题,而现有的僵尸企业识别标准具有局限性。在互联网步入大数据时代后,可以依托大数据进行企业监管,为智慧政务提供服务。基于此,笔者提出一种基于画像技术来识别僵尸企业的方法,首先采用数据分析、挖掘等技术提取企业画像维度及标签信息,然后使用机器学习技术对僵尸企业进行识别和分类并给出预警。
The existence of zombie enterprises brings a serious problem of resource occupation,and the existing zombie enterprise identification standards have limitations.After the Internet enters the era of big data,enterprises can rely on big data for enterprise supervision and provide services for smart government affairs.This paper proposes a method to identify zombie enterprises based on portrait technology.Firstly,data analysis,mining and other technologies are used to extract the dimensions and label information of enterprise portraits.Then,machine learning technology is used to identify and classify zombie enterprises and give early warning.
作者
蔡承佑
李莹
毛浩地
何真可
李志敏
Cai Chengyou;Li Ying;Mao Haodi;He Zhenke;Li Zhimin(Zhejiang Chinese Medical University,Hangzhou Zhejiang 310053,China)
出处
《信息与电脑》
2020年第10期109-110,共2页
Information & Computer
关键词
企业画像
分类识别
智慧政务
僵尸企业预警
enterprise profiling
classification and identification
smart government
zombie enterprise early warning