BIG DATA ANALYSIS USING SVM AND K-NN DATA MINING TECHNIQUES
作者: Dr. B. Lavanya B. Divya
刊名: International Journal of Computer Science and Mobile Computing- IJCSMC, 2017, Vol.6 (1)
来源数据库: International Journal of Computer Science and Mobile Computing
关键词: Big dataSVMK-NNAccident Prediction
原始语种摘要: Abstracting useful information from a big data has always been a challenging task. Data mining is a powerful technology with great potential to extract knowledge based information from such data. Prediction can be done with past and related records in different fields. Risk and safety have always been an important consideration in the field of aircraft. Prediction of accident in aircraft will save life and cost. This paper proposes an accident prediction system with huge collection of past records by applying effective predictive data mining techniques like Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN) which have a greater capacity to handle huge and noisy data that are used to predict accidents with more accuracy. The methods used, prove to handle noisy, unrelated and...
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关键词翻译
关键词翻译
  • great 大的
  • information 报告
  • always 总是
  • safety 安全
  • applying 施加
  • SVM 共享虚拟存储器
  • system 
  • prediction 预报
  • aircraft 飞机
  • records 案卷