In the presentation, Erwin explained three different ways of managing the temporal data in an application.
在该ppt中，Erwin解释了在应用程序中管理时间数据的三个不同的方式。
An implicit DB2 constraint enforces that bus_start values are less than bus_end values, ensuring temporal data integrity.
一项隐含的DB 2限制会强制要求bus_start值小于bus_end值，确保时态数据的完整性。
A table that includes temporal data has a pair of date-time columns that indicate the period (the time interval) when the row is valid.
包含时态数据的表有两个日期-时间列，它们表明每一行有效的期限(时间间隔)。
With DB2 10's temporal data features, application developers and system administrators can support time-based data more easily than ever before.
使用DB 210的临时数据特性，应用程序开发人员和系统管理员能够比以前更轻松地支持基于时间的数据。
In this paper, a new spatial-temporal data model based on state-event is presented, and the qualifications for conversion between spatial-temporal data models are analyzed.
本文提出了基于状态-事件的时空数据模型，并系统阐述各时空数据模型之间的相互转换条件。
This paper discusses some problems of temporal data mining that combine data mining with temporal data.
本文试图将数据挖掘和时态数据相结合来讨论时态数据挖掘的有关问题。
Spatio-temporal database management system is a kind of DBMS that can deal with both spatial and temporal data.
时空数据库管理系统是能够同时处理时态数据和空间数据的数据库管理系统。
General approaches for outlier detection need to divide temporal data into sub-sequences so as to reduce complexity.
在对时序数据进行离群检测之前，一般先将原时序数据划分为若干个子序列，以便降低计算复杂度。
Based on the theory of temporal data management, the concept of temporal table, flat table and snap table are developed.
基于时态数据管理理论提出了时变表、常量表、瞬像表的概念。
Spatio-temporal database management system (STDBMS) is a kind of DBMS that can deal with both spatial and temporal data.
时空数据库管理系统是能够同时处理时态数据和空间数据的数据库管理系统。
Adding temporal data type to system, the temporal data can be managed conveniently and effectively in relational database system.
在系统中引入时态数据类型，使得在关系数据库系统中能对时态数据信息进行方便有效的管理。
Spatio-temporal data mining is an important research topic in data mining, and in which spatiotemporal forecasting is the most widely used.
时空数据挖掘是数据挖掘中的重要研究内容，其中时空预测的应用领域最为广泛。
To overcome the defects of data representation algorithms in temporal data mining, segmentation algorithm of key-point-based error checking is proposed.
针对时序数据挖掘中常见数据表示算法的缺陷，提出了基于关键点的误差检验分段算法。
This reduces the number of animals required for a given study and improves the data set as the temporal data allows for each animal to serve as its own internal control.
该技术有效减少了所需实验动物的数量，也减小了因个体差异引起的误差，改进了数据点的质量。
In this paper, the description of time expressions, the definition of temporal patterns and temporal association rules, and the description of the temporal data mining language (TDML) are presented.
首先简要讨论时间表达式的描述；然后提出有关时态模式和时态关联规则的若干定义；最后讨论时态数据挖掘语言(TDML)的描述并给出一个实例。
Mining Temporal data is becoming increasingly essential in data mining.
时态数据挖掘是数据挖掘中一个日益重要的研究课题。
Mining Temporal data is becoming increasingly essential in data mining.
时态数据挖掘是数据挖掘中一个日益重要的研究课题。
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