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基于数据挖掘的固定资产投资效益评价

刘秋生 吴小倩

安徽农业科学2011,Vol.39Issue(11):6892-6894,3.
安徽农业科学2011,Vol.39Issue(11):6892-6894,3.

基于数据挖掘的固定资产投资效益评价

Evaluation about the Benefit of Investment in Fixed Assets Based on Data Mining

刘秋生 1吴小倩2

作者信息

  • 1. 江苏大学工商管理学院,江苏镇江212013
  • 2. 江苏大学财经学院,江苏镇江212013
  • 折叠

摘要

Abstract

Proceeding from the definition of fixed assets investment effects, the evaluation indicator system was perfect based on the existed indieators. The data based divided K-means clustering method was applied to evaluate the fixed assets investment situation in 31 provinces in China. Combining single indicators with comprehensive indicators, the investment outcome changes in east, middle and west area since the eighth five-year plan were expounded. The causes of outcome differences and corresponding countermeasures were proposed.

关键词

数据挖掘/投资/效益/K-means聚类/对策

Key words

Data mining/ Investment/ Benefit/ K-means clustering/ Strategy

分类

管理科学

引用本文复制引用

刘秋生,吴小倩..基于数据挖掘的固定资产投资效益评价[J].安徽农业科学,2011,39(11):6892-6894,3.

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