Many scholars have advanced a lots of temporal data models.
许多学者提出了多种时态数据模型。
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。
In the temporal database, temporal granularity is the unit for measuring the temporal data.
在时态数据库中，时间粒度是衡量时态数据的单位，通常用时态类型来表示时间粒度。
When dealing with temporal data you might want to describe the expected precision in database.
因此处理时间类型数据时，你需要定义将其存储在数据库中所预期的精度。
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。
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。
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。
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。
Temporal data mining can be defined as the search for interesting correlations or patterns in large sets of temporal data.
态数据挖掘可以定义为在大量时态数据集合中寻找有趣联系或模式的研究。
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。
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)。
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。
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。
Temporal database of land use was used to manage increment data in effect and to retrieve the historical data of land use by the method of plot flow.
土地利用时态数据库能有效地管理增量数据，按“图元流动”的方法可实现土地利用数据的历史回溯。
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。
The author of this paper introduces an object-oriented approach, analyses the data mark way and attributes, and spatial graphics temporal data organizing.
论文采用了面向对象的方法，探讨了数据标识方法和属性、空间图形时态数据组织。
In a composite image, the vascular architecture is constructed through maximum intensity capture of temporal data in consecutive low-power images, he said.
在复合图像中，在连续低能图像中的最大强度捕俘获的时态数据可以建立血管结构。
In the whole process flow, data aggregation is the key stage to realize parallel importing. The aggregation method of temporal data is described in detail.
在整个处理流程中，数据整合是实现并行导入的关键步骤，详细描述了历史数据并行整合的方法。
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, 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 shows the design of spatial-temporal data structure, the analysis of methods of history information backward recovering, and some example of important programming.
给出了时空数据模型的设计、历史沿革追溯与时间断面复原算法的分析，以及算法实现中的关键部分。
Temporal data mining has the capability to discover patterns or rules which might be overlooked when the temporal component is ignored or treated as a simple numeric attribute.
当时态组成部分被忽视或作为简单数值属性而被忽视时，时态数据挖掘有发现被忽略的模式或规则的能力。
Simplifying the application design, by removing the need to store some kinds of temporal data. By using a Flashback Query, you can retrieve past data directly from the database.
移除某些因需求储存的暂时数据以简化应用设计。通过闪回查询你可以从数据库中直接获取到过去的数据。
This model has the function to store temporal data, and based on it the intelligent network management can be realized and the hierarchical structure of supporting software are presented as well.
该模型具有历史数据存储功能，并能以此作为依据，进行网络智能化管理。
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。
For system time tables, DB2 also helps store historical data in a history table associated with the temporal table.
对于系统时间表，DB 2还帮助将历史数据存储在一个与时态表相关联的历史表中。
For system time tables, DB2 also helps store historical data in a history table associated with the temporal table.
对于系统时间表，DB 2还帮助将历史数据存储在一个与时态表相关联的历史表中。
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