基于人工智能的网络大数据分类系统设计  

Design of Network Big Data Classification System Based on Artificial Intelligence

作　　者：段韶鹏 DUAN Shaopeng(Zhengzhou Vocational University of Information and Technology,Zhengzhou Henan 450008,China)

机构地区：[1]郑州信息科技职业学院,河南郑州450008

出　　处：《信息与电脑》2021年第22期162-164,共3页Information & Computer

摘　　要：数据分类系统是大数据时代不可或缺的系统,它能合理进行数据分布和分类。但现有的大数据分类系统的系统稳定性很低。因此,本文提出基于人工智能的网络大数据分类系统设计,设计人工智能的网络数据采集器和网络处理器,满足提升系统稳定性的硬件条件。在数据采集服务端进行数据采集,在数据分类逻辑层提取数据的特征,最后基于数据的特征在数据分类端实现大数据的分类。通过系统测试,验证该系统的数据分类偏差比传统系统分类偏差小。Data classification system is an indispensable system in the era of big data.It can reasonably distribute and classify data.However,the system stability of the existing big data classification system is very low.Therefore,the design of the network big data classification system based on artificial intelligence is proposed,and the artificial intelligence network data collector and network processor are designed to meet the hardware conditions for improving the stability of the system.Data collection is performed on the data collection server,the characteristics of the data are extracted at the data classification logic layer,and finally the classification of big data is realized on the data classification side based on the characteristics of the data.Through the system test,it is verified that the data classification deviation of the system is smaller than that of the traditional system.

关 键 词：人工智能 网络大数据 网络处理器 

分 类 号：TN99[电子电信—信号与信息处理]