Some basic concepts of E-R relation model and multi-dimension data model are introduced, and design of multi-dimension data model of demand management is described in detail.
本文介绍了ER关系模型和多维数据模型的一些基本概念，着重介绍了需求管理的多维数据模型设计。
Specially, the paper presented the creating of dimension table, fact table of multi-dimension data model, analyzed the construction of data model, data extraction and data maintenance tools.
其中重点介绍了多维数据模型的维表、事实表的结构设计，分析了数据模型的构建、数据抽取工具和数据维护工具的设计及实现。
The module of generalized database model was played in generalized model service, and multi-dimension data was analyzed and transferred, so decision information was finally obtained.
广义模型服务调用广义模型库中的模块，对多维数据进行分析和转化，从而获得最终的决策信息。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
The paper establishes decision-making tree data mining model and clustering data mining model to make data mining with a multi-dimension data collection.
建立了渔船决策树挖掘模型及渔船年审聚集挖掘模型，对多维数据集进行了数据挖掘。
Building regression model of multi dimension data and special data for users.
为用户做多维数据和其它特殊数据回归的建模。
Through Laser 3-dimension Scanning technology the 3-d model of static object can be acquired fast, precisely and multi-directionally, the model and its data can be analyzed and proceed further.
激光三维扫描技术能够快速、精确、多方位地获取静态物体的三维模型，并对模型进行进一步的分析和数据处理。
Through Laser 3-dimension Scanning technology the 3-d model of static object can be acquired fast, precisely and multi-directionally, the model and its data can be analyzed and proceed further.
激光三维扫描技术能够快速、精确、多方位地获取静态物体的三维模型，并对模型进行进一步的分析和数据处理。
应用推荐