首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Research on Data Mining Model of Intelligent Transportation Based on Granular Computing
  • 本地全文:下载
  • 作者:Xiao-Lan Xie ; Xiao-Feng Gu
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2016
  • 卷号:10
  • 期号:7
  • 页码:281-286
  • DOI:10.14257/ijsia.2016.10.7.25
  • 出版社:SERSC
  • 摘要:Through the analysis of the relationship between current intelligence transportation and large data, after the theory of granular computing concepts involved in preliminary studies, For the current data mining of intelligent transportation ,we presents a Data Mining Model Of Intelligent Transportation Based on Granular Computing. Utilizing granular computing in data mining theory advantages, through constructing a new data mining model to solve the tlarge-scale, complexity, uncertainty and ambiguity problems of massive data from intelligent transportation.
  • 关键词:Intelligent Transportation; Granular Computing; Data Mining ;Data ; granulated
国家哲学社会科学文献中心版权所有