While as the particularity of data description, researchers pay much attention to how to apply the traditional data mining technologies to time-series data mining and forecasting.
由于数据描述的特殊性，如何把传统的数据挖掘技术应用于时间序列的挖掘与预测中更加受到国内外学者的广泛关注。
In the final chapter, we mine stock trading data using time series method, find out the model and outliers in the data and, at last, we show the more exact forecasting model and outlier mining method.
第五章利用时间序列的方法对证券交易数据进行了挖掘，找出了数据中的模式和异常，相对传统方法而言，给出了更精确的预测模型和异常挖掘方法。
This paper gives a schema of the forecasting analysis of customer missing by explaining the business requirement of customer missing and the technical of data mining.
本文通过对客户流失的业务需求和数据挖掘技术的介绍，提出了一种客户流失预测分析的解决方案。
This thesis describes a sales forecast model with automobile inventory data. The data mining process starts with the character of historical sale data, establishes and optimizes forecasting models.
本文针对汽车零部件销售量的预测开展了预测模型建模的研究，从销售历史数据特征研究入手，建立、选择并优化预测模型。
BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
商务智能的应用包括支持性决策系统，提问及报告，在线分析程序，统计分析，预测及数据探测。
Spatio-temporal data mining is an important research topic in data mining, and in which spatiotemporal forecasting is the most widely used.
时空数据挖掘是数据挖掘中的重要研究内容，其中时空预测的应用领域最为广泛。
For the above two perspectives analysis approach, we use data mining methods for analysis and forecasting.
针对上面的两个角度，本文尝试着利用数据挖掘方法进行了分析预测。
In order to efficiently improve the prediction accuracy by selecting input variables and the training pattern, a load forecasting model based on data mining technique is presented.
为了有效地提高预测精度，选择输入变量和人才培养模式，提出了基于数据挖掘技术的负荷预测模型。
Applications of using data mining technology in hydrological forecasting will be more widely applied and makes more practical value.
将数据挖掘技术应用到水文预报中，有着广阔的应用空间和实际意义。
The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.
灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。
In the current tourism management information system, data attribute is only, and spatial data mining, tourist market forecasting and tourist resource evaluating are insufficient;
目前的研究存在以下问题：旅游管理信息系统中旅游信息数据属性单一，在空间数据的挖潜利用以及旅游市场预测、旅游资源评价存在不足；
In order to improve the forecast precision, a forecasting method based on empirical mode decomposition (EMD) and data mining method is proposed.
为了提高风电场风速短期预测的精度，提出了将经验模式分解与数据挖掘方法相结合对风速时间序列进行建模预测。
In order to improve the forecast precision, a forecasting method based on empirical mode decomposition (EMD) and data mining method is proposed.
为了提高风电场风速短期预测的精度，提出了将经验模式分解与数据挖掘方法相结合对风速时间序列进行建模预测。
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