• The query model defines the concepts of dimension selections, edges, cube views, and the aggregations and manipulations of dimensional data.

    查询模型定义维度选择、边界、立方体视图以及维度数据的聚合与操纵等概念。

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  • You can combine these basic query types, which represent the dimension, edge, and data queries described here, to model more complex situations.

    可以组合这些表示维、边界和数据查询的基本查询类型,以建模更复杂的情况。

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  • Single list concept - a list in the assembly data model describes a new dimension in the data.

    单一列表概念—程序集数据模型中的一个列表描述数据中的一个新层面。

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  • JOLAP's query requirements and model facilitate the creation and execution of the three common types of OLAP query, namely: dimension queries, edge queries, and data queries.

    JOLAP的查询需求和模型简化三种常见olap查询的创建和执行,即多维查询、边界查询和数据查询。

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  • On the Dimensional Model page, you can add measures, dimensions, and dimension levels to the data cube.

    在Dimensionalmodel页中,您可以向数据立方中添加度量、维度和维度级别。

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  • Identify the dimension that contains the Boolean logic and de-select that dimension from the data model.

    找到包含Boolean逻辑的维度,并在数据模型中取消选择。

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  • Compared with some other modeling methods, such as ANFIS, the proposed model is of less computation, higher accuracy, especially for high dimension data modeling.

    与其他建模方法相比,如anfis,模糊树模型计算量小,精度高,尤其在高维数据建模中更为明显。

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  • Because this Mining Model is based on multidimensional data, you can create a new dimension from it.

    因为此挖掘模型是基于多维数据的,所以您可以用此模型创建一个新的维度。

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  • This paper puts forward to a model of data structure for GIS with timing dimension based on the relationship database.

    本研究提出一种依据关系型数据库管理下带有时间维数据结构的GIS模型。

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  • This paper puts forward model of data structure for GIS with timing dimension based on the relationship database.

    提出一种依据关系型数据库管理下带有时间维数据结构的GIS数据模型。

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  • Data that resides in a cube. A Mining Model created from multidimensional data can be used to create a dimension and a Virtual cube.

    驻留在多维数据集中的数据。用多维数据创建的挖掘模型可用于创建维度和虚拟多维数据集。

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  • A new forecasting model the Equal Dimension Grey Data Dynamic forecasting model Corrected by Remnant Error was proposed based on the Grey System Theory.

    根据灰色系统理论,提出一种残差修正的等维灰数据动态预测模型。

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  • 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。

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  • 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。

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  • 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。

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  • A Mining Model created from multidimensional data can be used to create a dimension and a Virtual Cube.

    用多维数据创建的挖掘模型可用于创建维度和虚拟多维数据集。

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  • The paper discusses applying grey theory to power load forecasts, design equal-dimension and new-information model, and illustrate appropriate size of the sample on the basis of practical data.

    文中将灰色理论应用于电力负荷预测,设计了等维新息模型,并根据实际数据说明了样本的合适长度。

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  • 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。

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  • 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。

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  • Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched.

    将白化滤波后的降维数据矢量看作是单用户的系统,研究了迭代最小二乘(ils)检测和最小均方误差(MMSE)检测。

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  • 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。

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  • The second virial coefficients and its second derivatives calculated from this effective potential agree with the experimental data much better than that calculated from the ideal 2-dimension model.

    由这种有效相互作用所求得的被吸附量子气体的第二维里系数及其二阶导数,比由理想二维物理模型出发所得结果更接近实验数据。

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  • 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。

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  • The relationship between the longitudinal dimension of an abutment and the recirculation length behind it is established based on the experimental data and the numerical results using a 3D model.

    采用试验和三维紊流模型相结合,对长方体边墩在不同纵向宽度条件下的回流长度变化规律进行了研究。

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  • Data collected using the new process can also be reverse engineered into a "smart" dimension-driven 3d CAD model.

    使用新流程采集到的数据也可以逆向成为“智能”尺寸驱动的3dCAD模型。

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  • Data collected using the new process can also be reverse engineered into a "smart" dimension-driven 3d CAD model.

    使用新流程采集到的数据也可以逆向成为“智能”尺寸驱动的3dCAD模型。

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