Time-series database 时间序列数据库
High-Performance Time Series Database 高性能时间序列数据库
Large Time Series Database 大型时间序列数据库
The problem can be described as: searching the sequence most similar to a given time series from a large time series database.
该问题可描述为给定某个的时间序列，要求从一个大型时间序列数据库中找出与之最相似的序列。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
The idea is to transform the net audit data into time series database and mine the sequence pattern to extract the user behavior pattern , and then to use behavior pattern in anomaly detection.
其思想是通过将网络审计数据转化为时序数据库，对其进行序列模式挖掘以提炼出用户行为模式，并由此进行异常检测。
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