This paper focuses on the extraction and application of region-dependent rules for land-use data generalization.
本文主要探讨随地理区域不同而变化的区域依赖性数据综合规则的提取和应用。
It also pointed out that using data generalization and detection could improve management efficiency of control centers.
使用数据概化和探查可以提高控制中心的处理效率。
This thesis presents a data generalization algorithm based on data cube. The algorithm can clean the data for data mining and im-prove efficiency of data mining.
该文提出了一种基于数据立方体的数据泛化算法用于数据预处理，能够为数据挖掘提供良好的数据环境，提高数据挖掘的有效性。
As the generalization of topographic data, thematic data generalization needs the support of generalization knowledge to satisfy the use requirements and reflect the main geographic nature.
与地形数据综合一样，专题数据综合需要依据一定的综合规则来保障数据综合围绕应用的需求、反映主要地理特征。
Harmonization is the method to ensure population overlap and comparable levels of generalization and aggregation by the removal of duplicate data or overlapping definitions.
协调是通过去掉重复的数据或重叠的定义，确保填充重叠和类似的通用化和聚合级别。
In the same way that we discovered function interfaces by encapsulation and generalization, we can discover class interfaces by data encapsulation.
之前我们对函数接口进行过封装和泛化的处理，现在也可以通过数据封装来改进类的接口。
Through the generalization and analysis of the original data, the researcher generalizes the types of children's experience in the activities on health education at different angles.
研究者通过对原始资料进行整理和分析，从不同的角度概括了健康教育活动中幼儿体验的类型。
In data mining with Attribute-Oriented generalization (AOG), attribute reduction and concept generalization can not part from concept hierarchy.
在面向属性归纳(AOG)的数据挖掘中，属性归约及概念归纳都离不开概念层次。
Attribute oriented generalization (AOG) can be used in data reduction.
面向属性的归纳(AOG)可以用于数据简化。
In the calculation example, the real data were used for the dynamic modeling of the load, and the results show that the load model is accurate and has high generalization ability.
算例中利用实测数据进行负荷动态建模，结果表明可得到精度和泛化能力都较高的负荷模型，在电力负荷建模方面具有广泛的应用价值。
SVM has been applied to many fields such as pattern recognition, data mining, modeling and control of nonlinear system due to good generalization ability and globally optimal performance.
SVM由于其良好的泛化能力和全局最优性能，在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。
Can utilize the geographical data of foundation in existing GIS database based on single scale, produce mult-scale data synthetically through automatic cartographic generalization.
可以利用已有的基于单一比例尺的GIS数据库中的基础地理数据，通过自动制图综合生成多比例尺数据。
The purpose of the thesis is to utilize UML to improve GIS figure modeling and apply to figure modeling course with GIS linear data simplifying and automatic cartographic generalization.
本文的目的是利用UML改进GIS图形建模，并运用于对自动制图综合和GIS线状数据的简化的图形建模过程。
Finally experimental data show that the system generalization error is less than 6%.
最后，通过实验数据验证，系统的泛化结果误差小于6%。
The theoretical analysis and integrated data show that good environmental protection and economical benefit will result from generalization and effective usage of natural gas.
通过理论分析及数据归纳得出：如果能够推广和有效使用天然气，将在环境保护及经济上得到效益。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
Through the generalization and analysis of the original data, the researcher generalizes the factors which influence the children's experience in the activities on health education.
通过对原始资料的分析，本研究概括出了健康教育活动中影响幼儿体验的因素。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
Numerical test results show that SVR has good ability of modeling nonstationary financial time series and good generalization under small data set available.
数值实验表明，SVR方法对非平稳的金融时间序列具有良好的建模和泛化能力。
Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.
数值实验表明，改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力，具有一定的参考价值。
With real data collected from Jiangyin Xingcheng Steel Work CO. LTD, experiments show that SVM-based method is effective and superior to ANN-based method on generalization performance.
以江阴兴澄钢铁公司的实际数据进行实验，结果表明，支持向量机方法有着良好的泛化能力，优于人工神经网络建模方法。
Such methods as comparison, analysis, abstract and generalization, which are used for collecting and sorting out the data, are logical methods.
至于收集整理资料所用的诸如比较、分析、抽象、概括等方法，本身就是逻辑方法。
Firstly, analyze the importance of data checking, and the effect of generalization knowledge on it.
首先，分析数据检查的重要性和制图综合知识在数据检查中的作用。
A structural river network data model based on automated generalization oriented is developed, which contains lots of information needed by river network generalization.
建立了一种面向自动综合的河系结构化数据模型，模型包含了大量水系综合所需要的信息。
Simulation results for artificial data show that the proposed method gives good performance on reducing the effects of noise and improves the regression accuracy and generalization.
仿真实验结果显示了该方法有效地减少了噪声的影响，改进了回归的精度，增强了推广能力。
Dense sample data are acquired by using numerical control platform of high precision, and the Bayesian generalization is adopted during training the neural network.
通过高精度的数控移动工件台获取密集的样本数据，并在神经网络训练过程中采用贝叶斯正则化方法。
By using 1:500 topographic map updating 1:2000 topographic through generalization of automatic cartography, decrease the burden of UBGIS data revision.
通过地图自动缩编利用1：50 0地形图更新1：20 00地形图，减少城市基础地理信息系统的更新负担。
Data Mining mainly studies on research Generalization Knowledge, Association Knowledge, Classification Knowledge, Clustering Knowledge, Prediction Knowledge, and Deviation Knowledge.
数据挖掘主要研究内容包括广义知识、关联知识、分类知识、聚类知识、预测型知识和偏差型知识的内容。
Data Mining mainly studies on research Generalization Knowledge, Association Knowledge, Classification Knowledge, Clustering Knowledge, Prediction Knowledge, and Deviation Knowledge.
数据挖掘主要研究内容包括广义知识、关联知识、分类知识、聚类知识、预测型知识和偏差型知识的内容。
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