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| 自组织数据挖掘理论与经济系统的复杂性研究 | |
| 引用本文： | 贺昌政,吕建平. 自组织数据挖掘理论与经济系统的复杂性研究[J]. 系统工程理论与实践, 2001, 21(12): 1-5. DOI: 10.12011/1000-6788(2001)12-1 |
| 作者姓名： | 贺昌政 吕建平 |
| 作者单位： | 四川大学工商管理学院 |
| 基金项目： | 国家自然科学基金(79970098) |
| 摘 要： | 通过对自组织数据挖掘理论与方法的发展过程、原理和算法基本步骤的分析 ,重点阐述了它所揭示经济对象构成因素的功能和较准确的预测功能 ,并指出 ,这是经济系统复杂性研究的一条有效途径. |
| 关 键 词： | 自组织数据挖掘 经济系统 复杂性 |
| 文章编号： | 1000-6788(2001)12-0001-05 |
| 修稿时间： | 2001-06-29 |
Study of Self-organizing Data Mining Theory and the Complexity of Economic Systems. |
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| HE Chang-zheng,L Jian-ping. Study of Self-organizing Data Mining Theory and the Complexity of Economic Systems.[J]. Systems Engineering —Theory & Practice, 2001, 21(12): 1-5. DOI: 10.12011/1000-6788(2001)12-1 | |
| Authors: | HE Chang-zheng L Jian-ping |
| Affiliation: | Business School, Sichuan University |
| Abstract: | This paper analyzes the development, principles and basic steps of algorithms of self-organizing data mining theory and method. A specific and careful study on its functions of relative accurately forecasting and revealing components of economic objects is focused. And we point out this method is an efficient approach to the research of the complexity of economic systems. |
| Keywords: | self-organizing data mining economic system complexity |
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