Periodicity mining is the mining of periodic patterns, that is, the search for recurring patterns in time-series database.
周期模式主要是研究时序数据库中的循环特性，是时态数据挖掘的一个重要的研究方向。
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).
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）。
During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.
课程期间我们将检视数种学习技巧在一些领域上的应用如电脑视觉、电脑绘图、数据库搜索和时间数列分析与预测。
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。
The similarity pattern query about time series is one of the research hotspots in knowledge discovering in the time series database.
时间序列相似性模式搜索是营销时间序列数据仓库中知识发现领域的一个研究热点。
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。
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。
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.
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。
Verb decision trees are powerful tools to generalize and extract knowledge from database containing time series.
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。
During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.
我们也将在课程期间检视数种学习技巧在一些领域上的应用如电脑视觉、电脑绘图、数据库搜索和时间数列分析与预测。
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。
Opposite to mature part of data mining (such as mining of database association rules and classify rules), mining of time series still falls into a new branch.
目前对于时间序列数据挖掘的研究主要集中在相似性搜索和模式挖掘上。
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.
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.
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。
应用推荐