最后，使用分类器对测试数据集进行分类和预测。
Finally, test data sets and forecasts by using the classifier.
该方法可降低数据空间维数和支持向量机处理过程的复杂度，但不会降低分类和预测性能。
The method can reduce the dimensions of the data set and the complexity of the model of SVMs, and doesn't affect its classification and prediction performance.
数据分类和预测是两种数据分析形式，可以用于提取描述重要数据类或预测未来的数据趋势模型。
Data classification and prediction is the two forms of data analysis, can be used to extract important data to describe or predict the future trend of the data model.
本文将分类和预测等数据挖掘方法应用于瓦斯浓度的预测，是对煤矿瓦斯数据挖掘的应用和研究。
In this article, classification and prediction methods of data mining was applied to predict gas concentrations which is the application of data mining coal and gas research.
将该方法应用于两相流决策表数据的分类和预测中，取得了良好的效果，为两相流流动测量提供了一种新的方法。
Applied it to the two-phase flow decision table above, it can obtain good results and provide a new approach to the measurement of two-phase flow parameters.
图12：资产所需要的命名约定和分类是用来让存储库专业人员增加一致性，从而增加资产组织的可预测性。
Figure 12: Naming conventions and classification required of assets are intended for the repository practitioners to increase consistency and thereby predictability of asset organization.
然后基于支持向量机进行分类建模和预测过程。
Then, we implement classification modeling and forecast based on SVM.
各种模式各有侧重，其中有一些已经研究得较为成熟，研究成果也较多，如挖掘关联规则、预测方法和分类模式中的一些其他方法。
Each mode has its own emphasis, among them, there are some already studied modes have much more research outcome, such as some methods in association rule mining, classification and forecast mode.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
当人们面对海量、芜杂、纷乱的数据时，首先要对这些数据进行分类，然后再对较小的数据集合进行分析研究，进而做出决策和预测。
Have the numerous and disorderly data, people should classify these data first, then analyses and study the less data sets respectively, and then making decision and prediction.
然后基于支持向量机进行分类建模和预测。
Then, we realize classification modeling and forecasting test based on SVM.
数据挖掘面对的任务是复杂的，通常包括分类、预测、关联规则发现和聚类分析等。
Data mining always faces complicated tasks that including classification, prediction, association rule discovering and clustering, etc.
然后进行基于支持向量机的分类建模和预测。
Then, classification modeling and forecasting test based on SVM are put in practice.
这对于提高植原体的分类鉴定、致病机制、流行预测及病害防治等研究水平具有重要的作用和意义。
This will be of great importance in increasing the level of classification and determination of phytoplasmas, epidemiological forecasting and the control of relevant diseases.
分类是一种重要的数据分析技术，可以用于提取描述重要数据类的模型和预测未来的数据趋势。
Sortation, which can be used to extract, describe major data type model and forecast the data tendency, is an important technology for data analysis.
提出采用时序逻辑系统描述故障的概念，推演故障的性质和相互关系，对故障进行分类，并预测将要发生的故障。
The temporal logic system is proposed to describe the concepts of faults, inter the attributes of faults with their correlation and classes, and predict what faults will happen.
这是膜蛋白分类和二级结构预测在线工具的网页。
This is a web page of Classification and Secondary Structure Prediction of Membrane Proteins.
试验表明，该算法有效提高了分类规则的简明性和预测精度。
Experiments show that the method can improve the simplicity and the prediction precision of classifying rules.
结果：结合患者的症状和脊柱的影像学表现，形成了一个综合分类系统来预测瘤性病变脊柱的稳定性。
Results. A comprehensive classification system based on patient symptoms and radiographic criteria of the spine was developed to aid in predicting spine stability of neoplastic lesions.
最后，利用灰度函数的性质，给出套管缺陷分类的新方法，并对其进行分类和使用寿命预测分析。
Finally, the casing defects are classified by using the properties of grayscale function, and the lifetime of casing is forecasted.
该方法操作步骤包括横波速度预测、流体替换、属性优选、属性分类和储层预测等。
The prediction method includes five sequential steps of shear wave velocity estimation, fluid substitution, attribute optimization, attribute classification and reservoir prediction.
结论：提高分类的精度可以增进SCL- 90对疾病的诊断和预测能力。
Conclusion: Improving the precision of taxonomy of SCL-90 would result in increasing the ability of diagnosis and prediction of disease.
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.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
再通过分类K L变换去除量化误差图像的谱间相关性，对K L变换后的特征图像采用预测树的方法进一步去除谱间结构相关性和空间相关性。
Then the classified K_L transform is used to reduce the spectral correlation of quantization error image. Finally, the prediction tree is adopted to reduc…
介绍了吡啶氯化物分类、合成进展，分析了不同的合成路线之间的优缺点，并简介了其在医药、农药、香料、橡胶和染料方面的应用及预测。
Various methods for the preparation of chloropyridines were reviewed. The applications of chloropyridines in the fields of pharmaceuticals, agrochemicals, flagrances, rubber and dyes were described.
在进行区域物探工作时，为了解决填图、构造分区和矿产预测等问题，常常需要将地球物理场的异常进行分区和分类。
The division and classification of geophysical anomalies are frequently required in regional geophysical prospecting to tackle such problems as mapping, tectonic division and ore-predicting.
在进行区域物探工作时，为了解决填图、构造分区和矿产预测等问题，常常需要将地球物理场的异常进行分区和分类。
The division and classification of geophysical anomalies are frequently required in regional geophysical prospecting to tackle such problems as mapping, tectonic division and ore-predicting.
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