时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
挖掘事务数据库、时间序列数据库中的频繁模式已经成为数据挖掘中很受关注的研究方向。
Mining frequent patterns in transaction databases, time series databases, and many other kinds of databases has been studied popularly in data mining research.
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。
The problem can be described as: searching the sequence most similar to a given time series from a large time series database.
URI版本控制 […]是一种设计决定，用于当资源不随时间的变迁而变化时，我们为状态的改变创建新资源（类似于管理数据库中的时间序列数据）。
URI versioning […] is a design choice when resources are immutable across time and we create new resources for state changes (similar to how we manage time-series data in a database).
这些数据库调用会显示在序列图中，并且还会显示每次数据库访问的响应时间。
These database calls are shown in the sequence diagram along with the response time for each database hit.
依据长时间序列水旱灾害资料，现已建立衡阳水旱灾害数据库。
This paper built the Waterlogging and drought disaster database of Hengyang based on the long time sequenced Waterlogging and drought material.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
依据长时间序列的水旱灾害资料，建立衡阳水旱灾害数据库。
Waterlogging and drought disaster database of Hengyang is established based on the long time sequenced waterlogging and drought materials.
近年来，随着数据库技术以及数字化技术的不断进步，针对高维时间序列的数据挖掘研究引起了越来越多学者广泛的兴趣。
As the digitalization technology and database technology advanced recent years, data mining techniques that focus on multi-dimensional time series attracts more and more researchers.
对于从包含时间序列的数据库中归纳和提取知识而言，计算动词决策树是一个强大的工具。
Verb decision trees are powerful tools to generalize and extract knowledge from database containing time series.
时间序列数据在数据库数据中十分普遍，于是对时间序列进行数据挖掘已成为当前研究的焦点之一。
As a very common type of the data sets, time series has been one of the focuses of the current data mining research.
CEIC中国数据库是业内领先的时间序列经济数据库，数据内容包括全国性的宏观经济数据、地区经济数据、行业经济数据及专题数据。
The CEIC China Premium Database is the recognized leader for China's economic data, with unrivalled breadth and depth of national, regional and industry time series.
CEIC中国数据库是业内领先的时间序列经济数据库，数据内容包括全国性的宏观经济数据、地区经济数据、行业经济数据及专题数据。
The CEIC China Premium Database is the recognized leader for China's economic data, with unrivalled breadth and depth of national, regional and industry time series.
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