时态数据库

时态数据库（TemporalDatabase）支持时态数据模型和时态版的SQL。

A Temporal Database supports the time aspects like temporal data model and temporal version of SQL .

大型时态数据库中的Burst模式挖掘

Mining Burst patterns in large temporal database

时态数据库（TemporalDatabase）中的时态数据是数据信息中重要的一类，此类数据中存在着大量未知的涉及数据的变化趋势及数据增量之间相互关系方面的知识。

Temporal Database is one of the important data information systems . There is some useful unknown knowledge concering the tendency and the relation of data increment .

OracleFlashBack是另一个时态数据库产品，支持记录时态特性。

Oracle FlashBack is another temporal database product that supports the record-temporal feature .

本文给出了一个时态数据库模型GT。

We propose a temporal database model named GT .

给出了时态数据库中的相邻关系（adjacency）和增量（increment）的定义，提出了基于定量属性离散化及编码化的增量关联规则的基本模型（modelofdiscretization&code-basedincrementassociationrules）；

In this paper the definitions of adjacency , increment , collision set are given and the model of discretization & code based increment association rules are proposed .

讨论了一种应用于时态数据库的数据模型&面向对象的实体联系时间（ERT）模型。

An entity relation time model is introduced , which is a new objected oriented data model supporting time expression applied in temporal database .

同时研究了基于时态数据库的层次聚类和SOM聚类的多维时态近似周期的挖掘算法，实验表明了算法的有效性。

At the same time , we study the algorithm of multi-dimensional approximate periodicity based on the temporal database and two kinds of cluster methods as hierarchical cluster and SOM cluster .

当前的时态数据库中间件不支持包含事务时间和有效时间的双时态数据索引，通过使用适当的数据变换和查询变换，可将双时态数据转化为R树可索引的数据。

The temporal middleware does not support the index of bitemporal data , which include the transaction time and valid time . By using the proper data transformation and query transformation , the bitemporal data can be trans - ferred to the data of 4R index .

由于底层采用的是关系数据库，但又要避免对底层DBMS的复杂数据结构或者算法做修改，所以我们采用在用户和数据库系统中添加一些中间功能模块的方法来建立一个时态数据库。

Our system 's underlying DBMS is relational DBMS , but we don 't want to modify the structure and the algorithm of the DBMS , so we add some module between DBMS and code .

时态数据库（TDB）出现于上世纪80年代，TDB中的时间变元反映了数据库时态信息的变化情况，它是TDB时变属性的重要体现。

The Temporal Database ( TDB ) was brought forward in the 80s , last century . The temporal variables reflect that the information changes with the time , which materializes the attributes change with the time .

通过提出的细于关系矩阵和封闭集算法，可以方便地在计算机上实现时态数据库设计算法需要的时态类型间的细于关系比较和glb操作。

By the fine-than matrix and the algorithm of the close set proposed , the glb manipulate and fine-than comparison between temporal types needed by temporal database design algorithms can be easily implemented on computers .

方案依据TPD-RBAC模型设计相应的隐私策略，然后将其应用于基于XML的时态数据库中，并从文件级别和元素级别对隐私数据的访问进行逐级控制，进一步地满足隐私对象的保护需求。

The corresponding privacy policy is designed in terms of TPD-RBAC model , then applied it into temporal database based on XML , and the privacy data is progressive controlled between file-level and element-level to further satisfy the needs of the privacy objects ' protection .

基于概率的有效时间不确定的时态数据库挖掘

Mining Temporal Database of Valid - time Indeterminacy Based on Probability

数据仓库和时态数据库时态查询的方法比较

Comparison of Temporal Query Approaches between Data Warehouses and Temporal Databases

这些算法是时态数据库进一步规范化的基础。

These algorithms are the basis of further normalization for temporal databases .

时态数据库的成果、缺陷与未来&时态数据库二十年回顾之二

The Achievements , Deficiency and Future Work in Temporal Database

本文重点介绍了适合于时态数据库的时态关系代数。

It discuss the temporal relation algebra operations fit to temporal database .

时态数据库在时间运算和处理方面有独到的优势。

The temporal database has unique advantages in time operation and processing .

基于时态数据库的分布仿真数据收集方法

Method for Distributed Simulation Data Collection Based on Temporal Database

时态数据库系统设计中的时间因素处理

Time processing method in the design of temporal database system

数据库应用中所需要的往往不只是快照信息，也包括历史信息，时态数据库的研究因此产生。

Database applications need not only snapshot information , but also history information .

时态数据库在工资智能决策支持系统的应用

A application of Temporal DB in an Intelligent Decision Support System of Salary

用户信息时态数据库系统分析

Discussion on a Temporal Database System for User Information

以传统关系数据模型为基础建立了多种时态数据库模型。

Varities of temporal database models are built on traditional relation database models .

基于时态数据库双向关联规则挖掘的研究

Research on Mining Bidirectional Association Rules of Temporal Dataset

基于电子病历的时态数据库技术的研究

Research on Techniques of Temporal Databases Based on CPR

模糊时态数据库关系代数演算规则分析

Analysis of Calculus Rules on Fuzzy Temporal Relational Algebra

时态数据库中增量关联规则的挖掘

Mining the increment association rules in temporal database

主动时态数据库中事件的时态语义研究

Event Temporal Semantic Study in Active Temporal Database