期刊文献+

基于数据挖掘的轨道交通车载监测与维护系统 被引量:2

Rail Transit Vehicle Inspection and Maintenance System Based on Data Mining
下载PDF
导出
摘要 研究一种基于数据挖掘的轨道交通车载监测与维护系统,利用信息挖掘技术,对运行获取的数据设定关联规则组合,从而获得对列车运行信息更可靠地认识和运行质量评估,从大量日志中,快速找到关键问题,应用于列车测试和维修领域。 Research on a rail transit vehicle interface unit based on data mining.This paper uses the data mining technologies to obtain the equipment characteristics of train and establishes the association rules of mining.From a large number of logs,it can find the key failure position quickly.The application of this system aims at the area of the train testing and maintenance.
出处 《铁道通信信号》 2013年第S1期144-147,共4页 Railway Signalling & Communication
基金 中国铁道科学研究院通信信号研究所科研基金资助合同号:2012TH04
关键词 轨道交通 数据挖掘 检测 维护 Rail transit Data mining Detection Maintain
  • 相关文献

参考文献2

二级参考文献17

  • 1Geng L,Hamilton H J.Interestingness measures for data mining: A survey[D].ACM Computing Surveys (CSUR), 2006,38 (3) : 61-93.
  • 2Agrawal R,Imielinski T, Swami A.Mining association rules between sets of items in lager databases[C]//Proc ACM SIGMOD Int'l Conf Management of Data, Washington, DC, May 1993: 207-216.
  • 3Yao H, Hamilton H J, Butz C J.A foundational approach to mining itemset utilities from databases[C]//Proceedings of SIAM International Conference on Data Mining,2004:482-486.
  • 4Savasere A, Omiecinsky E, Navathe S.An efficient algorithm for mining association rules in large databases[C]//21st Int'l Conf on Very Large Databases, San Francisco, 1995:432-444.
  • 5Liu Y, Liao W K, Choudhary.A fast high utility itemsets mining algorithm[C]//Proceedings of the First International Workshop on Utiliy-based Data Mining,2005:90-99.
  • 6Fayyad U , Piatetsky-Shapiro G, Smyth P. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). Portland, Oregon, AAAI press,1996
  • 7Shaw G,Wheeler D. Ststistical techniques in geographical analysis[M]. London: David Fulton Publishers, 1994
  • 8Agrawal R, Imielinski T, Iyer B,et al. Mining association rules between sets of items in large databases. In: Proc. of ACM SIG-MOD Conf. On managenment of data, 1993. 207~216
  • 9Agrawal R, Srikant R. Fast algorithms for mining association rules. In:Proc. of VLDB-1994, Chile, Sep. 1994. 487~499
  • 10Agrawal R ,Srikant R. Mining generalized association rules. In:Proc. of VLDB-1995, Swizerland, 1995. 407~419

共引文献7

同被引文献9

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部