数据挖掘技术在经济消费预测中的研究

Research on Data Mining Technology in Economic Consume Prediction

数据挖掘是从大规模的数据中抽取非平凡的、隐含的、未知的、有潜在使用价值的信息的过程。如何有效地分析这些数据,预测未来,成为摆在人们面前的一大课题。针对数据目标预测问题,系统地探讨如何建立挖掘模型和设计挖掘算法等问题,并根据消费理论,使用线性回归分析方法对经济消费进行预测。

Data mining is a process of learning and gaining connotative and valuable information from large scale data. How to analyze these data efficiently, use them for forecasting become a question for discussion. Makes a comprehensive discussion on data predicting for how to build mining models and design mining methods,and from consume theory, finds the technique of linear statistics analysis to predict economic consume.