期刊文献+

生物医学时间序列中的模体

Motifs in biomedical time series
下载PDF
导出
出处 《中国医药生物技术》 CSCD 2006年第1期69-71,共3页 Chinese Medicinal Biotechnology
基金 国家自然科学基金(30370394)
  • 相关文献

参考文献15

  • 1[1]Keogh E,Lin J,Fu AW,et al.Finding unusual medical time-series subsequences:algorithms and applications.IEEE Trans Inf Technol Biomed,2006,10(3):429-439. 被引量:1
  • 2[2]Godsill SJ,Doucet A,West M.Monte Carlo smoothing for nonlinear time series.J Am Stat Assoc,2004,99(465):156-168. 被引量:1
  • 3[3]Kalpakis K,Gada D,Puttagunta V.Distance measures for effective clustering of ARIMA time-series//Proceedings of the 2001 IEEE International Conference on Data Mining,San Jose,California,2001.Washington:IEEE Computer Society,2001:273-280. 被引量:1
  • 4[4]Keogh E,Chakrabarti K,Pazzani M,et al.Dimensionality reduction for fast similarity search in large time series databases.Knowl Inf Syst,2000,3(3):263-286. 被引量:1
  • 5[5]Hertz GZ,Stormo GD.Identifying DNA and protein patterns with statistically significant alignments of multiple sequences.Bioinformatics,1999,15(7-8):563-577. 被引量:1
  • 6[6]Indyk P,Koudas N,Muthukrishnan S.Identifying representative trends in massive time series data sets using sketches//Proceedings of the 26th VLDB,Cairo,Egypt,2000.Cairo:VLDB Press,2000:363-372. 被引量:1
  • 7[7]Keogh E,Chakrabarti K,Mehrotra S,et al.Locally adaptive dimensionality reduction for indexing large time series databases//Proceedings of ACM SIGMOD Conference on Management of Data,Santa Barbara,California,2001.New York:ACM Press,2001:151-162. 被引量:1
  • 8[8]Keogh E,Kasetty S.On the need for time series data mining benchmarks:a survey and empirical demonstration//Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,Edmonton,Alberta,Canada,2002.New York:ACM Press,2002:102-111. 被引量:1
  • 9[9]Keogh E,Lin J,Truppel W.Clustering of time series subsequences is meaningless:implications for previous and future research.Knowl Inf Syst,2005,8(2):154-177. 被引量:1
  • 10[10]Lin J,Keogh E,Lonardi S,et al.Finding motifs in time series//Proceedings of the Second Workshop on Temporal Data Mining,at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,Edmonton,Alberta,Canada,2002.New York:ACM Press,2002:53-68. 被引量:1

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