分类数据

Object of data mining is service concepts of service bag, carrier of data mining is history data, and spirit of data mining is mining classification.

在对服务概念开发进行数据挖掘时，服务包中的服务概念是数据挖掘的对象，历史数据是数据挖掘的载体，分类挖掘是数据挖掘的指导思想。

The dissertationsummarizes,analyses and studies the current status of the data mining technique inour native country and overseas widely and roundly and then summarizes anddiscusses its developmental trends and hot research fields. The definiens andorientation of the data mining is reviewed in brief first. Based on the basic conceptsof data mining,this dissertation classifies and summarizes the objects of data miningand the common techniques in detail.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究，对数据挖掘技术的未来发展趋势和热点研究领域进行了总结和探讨，对数据挖掘的定义及定位进行了简要的回顾，在数据挖掘基本概念的基础上，对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

In application of the knowledge, maximum likelihood classification is respectively applied to every part of remote sensing images covered by individual land use type with its prior knowledge and probability.

研究表明，该方法将原有的GIS 数据和各种土地利用类型变化的先验性知识综合集成用于新的遥感图像的分类中。这不仅可以促进GIS数据更新的自动化，而且还可以得到比常规最大似然法高的分类精度。

The main contents of this dissertation are outlined as follows,(1) A novel data classification algorithm based on matrix projection is presented.

指出Crowe提出的矩阵投影算法在数据分类中存在由于投影矩阵不唯一，导致已测可校正数据分类不彻底的缺点。

In combination of rough set theory and the distribution information of the land cover spectral feature space,a spectral feature neighborhood based tolerant rough set classification method is proposed to handle the uncertainty in the process of satellite remote sensing data classification.

结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。

Early data suggests that this classification system is both reliable and reproducible. Reliability data from additional institutions and data exploring teachability of this classification system is not available.

早期数据显示这种分类系统具有可靠性和可重复性，但尚未从其他机构得出的该分类的可靠性和可教性数据。

Data classification is an important task of data miming. To discover a high-performance, high-speed classification is one of key problems for data mining.

分类知识发现是数据挖掘的一项重要内容，研究各种高性能、高速度的分类算法是数据挖掘面临的主要问题之一。

The acquisition date of ETM+ is October 29, 1999. We get digital elevation model data from (1∶)250 000 topography map of Minhe area. The format of DEM is MapInfo exchange format *.mif which converted to coordinate. After primary treatment of the raw data, the DEM data is derived from the contour line. The ETM+ scenes are rectified using the DEM and sun-illumination model. NDVI and other three indexes from Tasseled Cap transform were calculated from RS data.

依据其理论方法，对青海省民和地区的遥感数据--ETM+进行了分类，选用的ETM+数据为1999年10月份数据，数字高程数据来自于1：25万民和幅地形图，数据格式为MapInfo通用格式MIF，数据进行了坐标转换，对原始数据进行了处理，从等高线中提取数字高程。

The best accuracy, in two-class problem, can be as high as 79.0%, and in three-class problem, can be as high as 67.5%. These results show that the support vector machine is an effective method in the prediction of protein solvent accessibility.

其中，对两类数据的最优分类结果达到79.0%，对三类数据的最优分类结果达到67.5%，表明支持向量机是蛋白残基可溶性预测的一种有效方法。

We consider suburban areas in terms of population density and of apparent spectral reflectance using Landsat data and quantify the relationship between the two variables. We also compare these results with the USGS National Land Cover Dataset (National Land Cover Characterization, 2001). We selected the Low Intensity Residential, High Intensity Residential and Commercial/Industrial/Transportation classes and crossreferenced the areal extents for these classes with vegetation fractions and urban classification estimates for the six cities included in this study.

我们从人口密度方面和利用美国地球资源探测卫星数据的表现光谱反射比与确定两变量间的关系来考虑郊区，另外，为了对该研究中的六个城市做出评价，我们将这些探测研究结果与美国地质勘探局的国家地表的一套数据(2001国家地表特点)相比，收集低密度住宅，高密度住宅，商业工业运输的分类，通过植被区与城市分类交叉引用这些来自同一地区的廷区。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。