此外，本文还会介绍数据挖掘的第一种技术：回归，意思是根据现有的数据预测未来数据的值。
Additionally, this article will discuss the first technique for data mining: regression, which transforms existing data into a numerical prediction for future data.
由发动机性能的设计技术参数，运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型，并对其经济性指标进行预测和分析。
Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.
研究运用线性回归及曲线拟合手段推导投标报价模型的方法，并进一步运用模糊预测技术研究获取对手的竞标能力值。
Discuss the means of deducing bidding models by linear regression and curve fit method, and further more, acquire rivals' bidding competitive ratio with fuzzy forecasting technique.
即便用上所有的预测技术，用回归分析得出的结论也不完全是可靠的。
As with all forecasting techniques, the results from regression analysis will not be wholly reliable.
传统的物流运输量预测技术大多采用线性回归和时间序列技术。
The traditional logistics transportation amounts prediction ways mainly indicate liner regression and time sequence model.
目的探讨三维自回归趋势面模型技术在疾病时空动态分析预测中的应用价值。
Objective to explore applicability of tri dimensional auto regression trend surface model in studying the space time dynamic of disease.
时间序列ar (P)自回归模型多应用于经济预测领域，工程技术界多数人对此不太热悉。
The time series ar (p) self-regression model is widely applied to prediction in economic field. Most of researchers and technicians in engineering are not familiar with it.
本文研究了一种使用数据库及回归分析技术在电弧焊中预测焊道形状及选择最佳焊接参数的方法。
A method in which a data base and regression will be employed has been studied for predicting weld bead shape and selecting optimum welding parameters in arc welding processes.
线性回归法是一项重要的预测技术，它在相关分析中有着重要的应用。
Linear regression is a important technology of forecast. It is very important too in interrelated analysis.
通常电力公司有内部价格预测工具，它是建立在可用预测方法之上，如传统的线性回归分析技术，以迎合对价格预测的需要。
Most often the Genco has an in-house price forecast tool based on available forecasting methods such as the conventional linear regression analysis technique, to cater to the need of a price forecast.
通常电力公司有内部价格预测工具，它是建立在可用预测方法之上，如传统的线性回归分析技术，以迎合对价格预测的需要。
Most often the Genco has an in-house price forecast tool based on available forecasting methods such as the conventional linear regression analysis technique, to cater to the need of a price forecast.
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