KNN 算法在敏感信息识别中的应用研究摘 要：科技的进步虽然帮助我们更快更多地获取到信息，但同时信息量的爆炸也给不法分子留下了可乘之机。不法分子在网络上大肆传播不良信息，这也给公安工作中的敏感信息研判带来了困难。KNN 算法是一种文本分类算法, 具有容易理解，易于实现等优点，常常被运用于文本的分类及预测。本文试通过简述 KNN 算法工作原理，优化 KNN 算法，加快其对敏感信息的识别速度，提高识别敏感信息的效率，为公安工作中敏感信息的识别提供帮助，节省警力使用，使公安信息工作更加快速、高效，同时为实现智慧警务做一份贡献。关键词：KNN 算法；敏感信息；文本分类；敏感信息I Sensitive Information Recognition Based on K-Nearest NeighborAbstract:The progress of science and technology helps us to get more information more quickly ， butat the same time the information explosion also left an opportunity for criminals.Criminals spread bad information on the Interne,which also brings difficulties to the research and judgment of sensitive information in public security work.K-Nearest Neighbor algorithm as one of the best text categorization algorithms is easy to understand and implement.It is often used in text categorization and prediction.In this paper,I try to briefly describe the working principle of KNN algorithm and optimize KNN algorithm.This paper aim at speeding up the recognition of sensitive information and improving the efficiency of identifying sensitive information,which can provide assistance for the identification of sensitive information in public security work.Key words:K-Nearest Neighbor algorithm; sensitive information; text categorization; accuracy rateII 目 录1 引言..........................................................11.1 研究背景及研究意义................................................................11.2 国内外研究现状...................................................................12 传统 KNN 算法.......................
