| 基于K最近邻算法的网络不良信息过滤系统研究 |
 点此下载全文 |
| 引用本文：汤烈1，穆合义1，候爱莲2，鄢喜爱3.基于K最近邻算法的网络不良信息过滤系统研究[J].计算技术与自动化,2019,(4):172-175 |
| 摘要点击次数: 454 |
| 全文下载次数: 0 |
|
|
| 中文摘要:网络不良信息过滤的难点是如何对信息进行准确分类，而K最近邻分类器作为模式分类领域一种简单而有效的分类方法，在很多领域得到应用。提出了一种基于K最近邻算法的网络不良信息过滤方法，并对K最近邻算法计算量大的问题进行了一些改进。实验表明：采用K最近邻算法的不良信息过滤系统具有良好的应用效果。 |
| 中文关键词:K最近邻 不良信息 过滤 样本优化 |
| |
| Research on Network Bad Information Filtering System Based on K Nearest Neighbor Algorithms |
|
|
| Abstract:The difficulty of bad information filtering is how to classify information accurately. K-nearest neighbor classifier，as a simple and effective classification method in the field of pattern classification，has been applied in many fields. A method of filtering bad information in network based on K-nearest neighbor algorithm is proposed，and some improvements are made on the problem of large computation of K-nearest neighbor algorithm. Experiments show that the bad information filtering system using K-nearest neighbor algorithm has good application effect. |
| keywords:K nearest neighbor bad information filtering sample optimization |
| 查看全文 查看/发表评论 下载pdf阅读器 |
位访问者,今日访问
