摘要
在互联网资源迅速膨胀的今天,面向重要网络媒体海量发布信息实现智能分类,能在很大程度上解决目前网上信息杂乱的现象,对于网络信息监管、舆论引导工作有着深远的意义。鉴于此,基于改进KNN算法实现网络媒体信息智能分类,并进一步验证改进算法的有效性。实验结果表明改进KNN算法能对网络媒体信息进行有效分类,算法性能指标达到网络监管工作关于信息分类的业务需求。将改进KNN算法实现网络媒体信息智能分类是可行、有效的。
Today, the resources of network inflate quickly, it has momentous significance for the task of the surveillance and management of network and leading the public to carry out the intelligence classification of the massive amount of information that released by the important network medium. To a large extent, it can solve currently the information of disorderly phenomenon. Owing to this, mainly implements the information intelligence classification on network media, based on the improved KNN algorithm, and then validates the validity of this improved algorithm. The result of the experiment indicates that the improved KNN algorithm can realize an effective intelligence classification to information that network medium released, the index of algorithm＇s performance can achieve the business demands which the work of surveillance and management of network requires the information intelligence classification. So it＇s feasible and effective to apply the KNN algorithm to the intelligence classification of the massive amount of information that the network medium released.
出处
《计算机技术与发展》
2009年第1期1-4,共4页
Computer Technology and Development
基金
国家自然科学基金项目(60502032)
上海市科技计划项目(065115020)
关键词
智能分类
KNN算法
查全率
查准率
intelligence classification
KNN algorithm
recall
precision
