Time series analysis for right censored data 右删失数据下的时间序列数据分析
The pure time - series analysis was developed firstly 早期的研究主要以时间序列数据为主。
Time series data set comes with a temporal ordering 时间序列数据集伴随着一个时间上的排序。
A system of time series data mining based on hybrid model 一种基于混合模型的时间序列数据挖掘系统
A time series data set is a sequence of random variables indexed by time 时间序列数据是以时间为指标的一个随机变量序列。
Finally , the dissertation is concluded with a summary and prospect of future time series data mining researches 最后在总结全文的基础上,指出了时间序列数据挖掘有待深入研究的若干个问题。
However , most tsdm literature focuses on similarity research and few on pattern discovery or rule discovery 当前对时间序列数据挖掘的研究大部分集中在相似性研究方面,针对模式发现和规则发现的研究内容比较少。
Association rules , which was considered as one of the most important methods of data mining , has been applied to data mining on time series 关联规则作为数据挖掘的最重要的方法之一,近些年在时间序列数据挖掘中得到了广泛的应用。
Yan xiangbin , li yijun , fan bo . similar problems in time series data mining . proceedings 2003 international conference on management science and engineering . 2003 : 382 - 385 闫相斌,李一军,崔广斌.事件预测的时间序列数据挖掘方法.计算机工程(已录用)
Sigmod 2005 conference , maryland , usa , 2005 , pp . 51 - 62 . 6 jinze liu , jiong yang , wei wang . biclustering in gene expression data by tendency 另外,基于趋势的方法认为基因在每个属性上的表达值相互独立,忽视了时间序列数据的序列本质,因而也不适于基因