Evaluation of Meta-Heuristic Algorithms for Stable Feature Selection
作者: Maysam ToghraeeHamid parvinFarhad rad
刊名: International Journal of Information Technology and Computer Science(IJITCS), 2016, Vol.8 (7), pp.22-29
来源数据库: Modern Education & Computer Science(MECS)Journal
DOI: 10.5815/ijitcs.2016.07.04
原始语种摘要: Now a days, developing the science and technology and technology tools, the ability of reviewing and saving the important data has been provided. It is needed to have knowledge for searching the data to reach the necessary useful results. Data mining is searching for big data sources automatically to find patterns and dependencies which are not done by simple statistical analysis. The scope is to study the predictive role and usage domain of data mining in medical science and suggesting a frame for creating, assessing and exploiting the data mining patterns in this field. As it has been found out from previous researches that assessing methods can not be used to specify the data discrepancies, our suggestion is a new approach for assessing the data similarities to find out the relations...
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  • usage 使用率
  • saving 节省
  • heuristic 试探
  • ability 能力
  • creating 生成
  • selection 选择
  • mining 矿业
  • approach 
  • necessary 必要的
  • Selection 分选