基于数据挖掘的经济预测模型可行性研究

在企业预测和规划中,对数据的处理是必须的,但面临着数据量大,部分数据无法满足要求,决策者需要从各种约束条件构成的庞大数据库中分析其变动情况,找出需要数据的具体困难。因此,如何利用已知数据,从中挖掘出有用的数据,成为在企业发展规划和预测工作中思考的难题。本文介绍了经济预测技术的现状,提出了基于数据挖掘的经济预测模型以及相关的实施方法,对其具体实施提出了一些可行的方案,为经济预测技术的研究提供了一种新的思路。

Prediction and planning in the enterprise, the treatment of data is needed, but it faces a large amount of data, part of the data can not satisfy the requirements of decision-makers from a variety of restrictive conditions required constitute a large database to analyze the changes necessary to identify data specific difficulties. Therefore, how to make use of known data, from which a useful data mining has become the enterprise development planning and consider the work of prediction problems. This paper introduces the status of economic forecasting techniques, data mining based on the economic forecasting model as well as related methods, their specific implementation raised a number of feasible options for economic forecasting technology provides a new way of thinking.