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      基于K最近鄰算法的網(wǎng)絡(luò)不良信息過濾系統(tǒng)研究

      2019-08-13 09:26:29湯烈穆合義候愛蓮鄢喜愛
      計算技術(shù)與自動化 2019年4期

      湯烈 穆合義 候愛蓮 鄢喜愛

      摘? ?要:網(wǎng)絡(luò)不良信息過濾的難點是如何對信息進(jìn)行準(zhǔn)確分類,而K最近鄰分類器作為模式分類領(lǐng)域一種簡單而有效的分類方法,在很多領(lǐng)域得到應(yīng)用。提出了一種基于K最近鄰算法的網(wǎng)絡(luò)不良信息過濾方法,并對K最近鄰算法計算量大的問題進(jìn)行了一些改進(jìn)。實驗表明:采用K最近鄰算法的不良信息過濾系統(tǒng)具有良好的應(yīng)用效果。

      關(guān)鍵詞:K最近鄰;不良信息;過濾;樣本優(yōu)化

      中圖分類號:TP39? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 文獻(xiàn)標(biāo)識碼:A

      Research on Network Bad Information Filtering System Based

      on K Nearest Neighbor Algorithms

      TANG Lie1?覮,MU He-yi1,HOU Ai-lian2,YAN Xi-ai2

      (1.Public Security Department of Hunan Province,Changsha,Hunan 410001,China;

      2. Changsha Branch,The People′s Bank of? China,Changsha,Hunan 410005,China;

      3. Hunan Police Academy,Changsha,Hunan 410138,China)

      Absrtact: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.

      Key words:K nearest neighbor;bad information;filtering;sample optimization

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