分类数据

There are different opinions of the taxonomy on the subfamily, tribe, genus and species of Umbelliferae because the taxonomic system of Umbelliferae is based on the typical umbrella anthotaxy and its fruit with specific secretory tube.

但是由于伞形科的分类系统是建立在典型的伞形花序和带有特殊分泌管的果实的基础之上的，使得分类学者在亚科、族、属和种的设立和分类方面存在分歧，实验主要针对阿魏属和独活属的花粉形状进行研究，对阿魏属和独活属植物的分类提供一些基础数据。

There are different opinions of the taxonomy on the subfamily, tribe, genus and species of Umbelliferae because the taxonomic system of Umbelliferae is based on the typical umbrella anthotaxy and its fruit with specific secretory tube. The pollen morphology is carefully observed in this test in order to provide several basic data for the taxa of Ferula and Heracleum.

但是由于伞形科的分类系统是建立在典型的伞形花序和带有特殊分泌管的果实的基础之上的，使得分类学者在亚科、族、属和种的设立和分类方面存在分歧，实验主要针对阿魏属和独活属的花粉形状进行研究，对阿魏属和独活属植物的分类提供一些基础数据。

In the first approach the metadata extraction is viewed as a classification problem. Three statistic classification models, including Support Vector Machines, Perceptron with Uneven Margins, and Maximum Entropy are studied. The approach suffers from the problems of ignoring the variance in lengths of documents and ignoring the dependency of text units within documents. To solve the problems, our second approach takes the metadata extraction as a sequence data labeling problem and makes full use of the sequential information.

论文首先研究了基于分类的元数据抽取方法，考察了支持向量机、非对称间隔感知机和最大熵模型在ADME中的应用；然后针对分类方法中存在的忽略文档之间的差异、不考虑文档上下文等问题，提出了基于序列数据标注模型的抽取方法，并结合最大熵马尔可夫模型、投票感知机模型和条件随机场模型进行了研究；最后本文根据前两种方法的设计思想和优缺点，研究提出一种新的结构预测模型—— CDASP（Coordinate Descent Algorithm for Structure Prediction），并将其应用于元数据的自动抽取中。

Every research result shows that Bayesian Classifier acts as one important class technology, Compared with Decision Tree Construction and Neural Network Classifier, Bayesian Classifier can adequately bring into play its incertitude discursion ability, so it can ameliorate learning ability and increase accuracy of forecast, it have better class effect in some conditions.

各种研究结果表明：贝叶斯分类作为数据挖掘中一项重要的分类技术，与决策树和神经网络分类器相比，贝叶斯网络分类器可以充分发挥它的不确定性推理能力，从而改善学习效果，提高预测准确率，在某些情况下具有更好的分类效果。

The main idea of this dissertation is as following sequence: disturbance signal denoising, transient harmonic measurement, disturbance online detection, and PQD data classification mining. Utilizing wavelet theory, Teager energy operator, and data mining technology, this dissertation presents a comprehensive and systematic study of PQD online detection and classification.

本文针对这两个核心问题，沿着"扰动信号去噪暂态谐波测量扰动在线检测扰动数据分类挖掘"这一技术主线，运用小波理论、Teager能量算子和数据挖掘技术，对电能质量扰动信号去噪、暂态谐波测量、扰动在线检测以及扰动数据分类挖掘进行了系统研究。

Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.

数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。

Hyperspectral remote sensing data has the characteristic of combining both image data and spectral data into one data set, each pixel of a hyperspectral image an entire spectrum (consisting of numerous contiguous, narrow spectral bands) is present. Compared with conventional multi-spectral remote sensing data, hyperspectral remote sensing data can be more useful for the identification and classification of surface Materials. In this paper, the author classified the coastal area using hyperspectral remote sensing data, and further more, succeeded in extraction of sand beach surface information related to bearing capacity characteristic.

高光谱遥感数据具有图像—光谱合一的特点，与传统的多光谱遥感数据相比，能够更好的分类与识别各类地物，本文主要利用高光谱遥感数据，实现海岸带分类，并且在此基础上实现沙滩表面承载特性信息的提取，主要内容分为以下三个部分：第一部分概要介绍了高光谱遥感技术。

Thirdly, in order to manage these data better, the paper advances the organization methods of data of commixed Database of Geo-spatial Framework model by integrating some advanced database technologies such as RDBMS and the Spatial Database Engine, namely on the basis of database and the data of Geo-spatial Framework divided in a preceding part of this paper, it describes layer-delaminating, block-dividing, slice-connecting, map-dividing and BLOB etc. to organize spatial data, including DLG, DOM, DEM, and thematic data, taking example for the data of urban planning. At the same time it also realizes integrated management of these data.

然后，本文以管理这些地理空间框架数据为主要目标，集成关系数据库管理系统以及空间数据引擎等相关技术，提出了地理空间框架混合数据库数据组织方法，即以地理空间框架数据库为基础，以分类后的地理空间框架数据为对象，通过采用分层、分块、连片、分幅以及大二进制对象等方法对基础空间数据(包括数字线划数据、数字正射影像数据、数字高程模型数据)和专题数据进行统一组织，并实现了这些数据的关联一体化管理。

Labelling data is dull and requires experienced annotators to label them with plenty of time and special device.This is so-called bottle-neck of annotation.At the same time,unlabelled data are easy to obtain and can be used in diverse ways.

大量实验表明，该方法明显减小了训练集的数据量，从而降低了算法的时空消耗，改进了分类器的性能。3、半监督的文本分类传统的分类器仅使用有标签的数据进行训练，然而，有标签的实例通常因昂贵、耗时而难以获得，从而造成标注瓶颈问题。

The traditional algorithms of classification are no longer suitable because of the effect of the concept drift in data streaming. The research on fast and stable data mining systems with high accuracy has become more valuable in both theory and practice. The effect of low frequency concepts on time and space performance is studied and an LFCR algorithm is proposed in this paper, which reduces the low frequency concept with some mechanisms. The extensive experimental study shows that LFCR has improved performance in classification in comparison with RePro.

由于数据流中概念漂移现象的影响，使得传统的分类方法不再适用，因此研究快速、精确及稳定的数据流挖掘方法和系统具有较高的理论和应用价值；文章研究了基于频度的概念漂移中低频概念对分类时空性能的影响，提出了对其中的低频概念进行消减的算法，实验表明LFCR算法比RePro算法有更好的分类性能。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了