| 稳定性理论在数据挖掘中的应用 |
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| 引用本文： | 尹云飞,刘祥森.稳定性理论在数据挖掘中的应用[J].阜阳师范学院学报(自然科学版),2003,20(3):10-15. |
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| 作者姓名： | 尹云飞 刘祥森 |
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| 作者单位： | 广西师范大学数学与计算机科学学院,广西,桂林,541004 |
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| 摘 要： | 为了使稳定性理论的研究成果应用到具体实践中,在企业数据信息的挖掘和分析中发现更有价值的知识,提出了稳定性挖掘的概念和实现方法。与传统方法比较,稳定性挖掘更加准确、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。从理论和实践上证明了数据挖掘具有不可估量的发展前景。
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| 关 键 词： | 稳定性理论 数据挖掘 稳定性挖掘 聚类 |
| 文章编号： | 1004-4329(2003)03-10-06 |
| 修稿时间： | 2003年4月17日 |
Using Stability Theory In Data Mining |
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| Yin Yunfei,Liu Xiangshen.Using Stability Theory In Data Mining[J].Journal of Fuyang Teachers College:Natural Science,2003,20(3):10-15. |
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| Authors: | Yin Yunfei Liu Xiangshen |
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| Abstract: | In order to apply the research of stability theory in practice and find valuable knowledge in the mining and analysis about enterprise data information, the paper gives the concept of stability mining and realization of algorithm. Comparing with the traditional method, stability mining is more accurate and more practical. So it will have a free space to develop, and be certain to bring great significance of reality and society in the intelligence decision of commerce.It proves that data mining has an inestimable developing prospect. |
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| Keywords: | Stability theory Data mining Stability mining Clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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