数据分类与预测作为一种重要的挖掘技术有着广泛的应用。
Data classification and prediction are important mining technologies and have been used widely.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
分类与预测分析是数据挖掘的主要技术手段之一，至今已在理论和方法上取得了丰硕的研究成果，决策树分类算法就是其中最典型的代表。
Classify and prediction is the main measures in Data Mining, which make great progress in theory and method till now, and Decision Tree arithmetic is the symbol.
文中评述了森林可燃物分类、可燃物模型及其预测研究的现状，并简述了我国森林可燃物研究存在的问题与发展趋势。
This paper discussed the current status of the study on classification, modeling and prediction of forest fuel, and presented briefly the weakness and development tendency of the study on forest fuel.
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.
通过对决策树算法的深入分析，我们围绕着C4.5决策树生成算法建立了一个分类预测系统并实现了与劳动力市场信息管理系统（LMIS）的集成。
With the thorough analysis on the algorithm of decision tree induction, we established a classification and prediction system based on C4.5 and accomplished the integration with the LMIS system.
在分类挖掘的预处理过程中，重要的是如何选择最有效的特征子集，以便于分类学习与预测。
During the preprocessing of classification, it is important to select feature subset effectively, in order to classification learning and predicting.
因此研究煤与瓦斯突出区域分类预测模型具有重大现实意义。
So search on coal and gas outburst prediction model for classification of great practical significance.
现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。
There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.
特别是分类关联规则既能用于概念描述又能用于分类预测与决策，在数据挖掘中发挥重要作用。
In particular, the class association rule (CAR), which can be used not only for concept description but also for class prediction and decision-making, has an important role in data mining.
整体报告加入了全体市场区分与整体预测、6项主要分类与29项市场区分的个别预测。
A consolidated report provides a combined forecast for all segments as well as separate forecasts for the 6 major areas and 29 market segments.
基于基因表达谱建立具有有效预测性的肿瘤分类模型对肿瘤的临床诊断与治疗具有非常重要的意义。
Building an effective classification model based on gene expression profiles is of great importance in tumor diagnosing and its clinical therapy.
根据构建的分类模型，可以发现故障设备运行的内在规律，快速对未知故障设备进行归类，从而为故障诊断与故障预测提供决策依据。
On the basis of the classified model, the intrinsic regularity how the machine runs can be found, and the unknown breakdown equipment may be classified quickly, whi...
根据构建的分类模型，可以发现故障设备运行的内在规律，快速对未知故障设备进行归类，从而为故障诊断与故障预测提供决策依据。
On the basis of the classified model, the intrinsic regularity how the machine runs can be found, and the unknown breakdown equipment may be classified quickly, whi...
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