According to the spatial and temporal characteristics of GIS-T data, this thesis has carried on the analysis and comparison of several existing spatiotemporal data model.
根据GIS - T数据所具有的时空特性，本文对现有的时空数据模型进行对比分析。
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。
In this paper, we give a temporal er - method - based data model, that is the temporal Entity Relationship model (TER).
本文给出了一个基于E- R方法的时态数据模型，即时态实体-关系(TER)模型。
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 the temporal XML model used in this paper, we store data with different valid time in the same document, rather than time-division version of data is kept separate.
本文中使用的时态XML模型是将不同有效时间的数据存放在同一个文档，而不是将数据按时间划分版本分开保存。
In order to implement a temporal database management system, we have to set up a query language for the data model.
为了实现时态数据库管理系统，除了数据模型之外，还需要有一个时态数据库的查询语言。
This paper presents a temporal - spatial data model for town property cadastre management, and presents a well - designed cadastral change solution and cadastral history data management solution too.
该文提出了一种可适用城镇产权地籍管理的时空数据模型及一整套完善解决地籍变更和地籍历史档案管理的方案。
A cadastral spatial-temporal logical data model is designed.
设计了地籍时空逻辑数据模型。
On the base of analyzing temporal-spatial characteristics of the social and economic statistical data, the paper puts forward a temporal-spatial data model of social and economic.
本文在分析社会经济统计数据时空特点的基础上，提出了社会经济统计时空数据模型。
We extend finite automata with time sequence and define temporal finite automata, then we propose using temporal finite automat to build formal model for data fusion system.
本文提出了时序有限自动机，用它建立数据融合系统的形式化模型，并且给出了时序有限自动机模型的可达性分析方法，用于分析数据融合系统的性能和行为。
The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.
明确提出挖掘延迟关联规则的模型，根据延迟规则的定义提出两种挖掘方法，并针对两种算法进行了相关的对比分析。
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