关于新疆企业景气的数据挖掘分析  

Data Mining on Business Tendency of Enterprises in Xinjiang

作　　者：刘继[1] 

机构地区：[1]新疆财经学院统计与信息管理系,乌鲁木齐830012

出　　处：《新疆财经》2005年第3期65-68,共4页Finance & Economics of Xinjiang

摘　　要：企业景气调查已经成为监测宏观经济发展趋势和企业生产经营状况的重要手段之一,对企业景气数据的有效分析将对宏观经济运行的整体判断和预测未来经济发展提供有效的支持。在大量的数据面前,如何利用数据挖掘技术对企业景气数据进行整理、初步分析是当前新疆企业景气研究的一个新方向。本文利用数据挖掘的关联规则方法验证企业景气数据的有效性,并用K-L方法分析了新疆企业景气的波动情况,给出了与新疆GDP发展的同步性指标,利用回归模型建立了基于同步性指标的新疆GDP发展速度与景气关系模型。Business tendency census of enterprises has been an important mean of monitoring macroeconomic trend and business operating conditions. Efficient analysis of business tendency census may contribute much to judgment and prediction of macroeconomic development. Therefore, how to utilize data mining to arrange and analyze huge amount of statistical data is a burgeoning field of business cycle research on enterprises. This paper validates the effectiveness of Xinjiang business tendency census under relational rules and analyzes the business tendency fluctuation by the means of K-L method. Furthermore, indices which are synchronous with GDP are presented and regression model of Xinjiang's GDP growth on those is estimated.

关 键 词：企业景气 数据挖掘 K—L信息量 回归模型 GDP发展速度 

分 类 号：F279.27[经济管理—企业管理]