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基于稳定性理论的数据挖掘
Data mining based on stability theory
【摘要】 通过建立稳定性理论与数据挖掘之间的联系,提出了基于稳定性理论的数据挖掘思想与方法。稳定性挖掘案例说明,在企业数据信息的挖掘和分析中,可以找出最有效的决策策略。并对稳定性数据挖掘的完善作了进一步的探讨,这种方法与传统方法比较,更加准确、更加符合实际。因而具有更大的发展空间,必将在商业智能决策中产生巨大的现实意义和社会意义。
【Abstract】 Through establishing a kind of relation between stablility theory and data mining, the concept and method of data mining are proposed. The result from a case study indicates that this method can find valuable knowledge in the mining and analysis enterprise data information. And the improvement to data stability mining is further discussed. Compared with the traditional method, this stability mining is more accurate and more practical. So it will have a free space to further develop, and be for certain of great significance of reality and society in the intelligence decision-making of commerce.
【Key words】 stability theory; data mining; stability mining; clustering;
- 【文献出处】 长江科学院院报 ,Journal of Yangtze River Scientific Research Institute , 编辑部邮箱 ,2004年02期
- 【分类号】TP311.13
- 【被引频次】2
- 【下载频次】158