| 高维数据挖掘技术研究 |
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| 引用本文： | 沈萍. 高维数据挖掘技术研究[J]. 数字社区&智能家居, 2009, 0(6) |
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| 作者姓名： | 沈萍 |
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| 作者单位： | 浙江长征职业技术学院计算机系; |
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| 摘 要： | 数据挖掘是致力于数据分析和理解,揭示数据内部蕴藏知识的技术。它是未来信息技术应用的重要目标之一。而高维数据在实际应用中的使用,使得对高维数据挖掘的研究有着非常重要的意义。文章介绍了高维数据挖掘对数据挖掘的挑战及应对策略,提出了一些挖掘模型的创新点。
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| 关 键 词： | 数据挖掘 高维数据 降维 聚类 特征 |
The Research on Mining High Dimensional Data |
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| SHEN Ping. The Research on Mining High Dimensional Data[J]. Digital Community & Smart Home, 2009, 0(6) |
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| Authors: | SHEN Ping |
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| Affiliation: | Computer Science of Department of Zhejiang Changzheng Professional and Technical College;Hangzhou 310023;China |
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| Abstract: | Data mining is a technique that aims to analyze and understand large source data and reveal knowledge hidden in the data.It has been viewed as an important evolution in the information processing.The universality of high dimensional data makes researches on high dimensional data mining very important.The article introduces challenges of mining high dimensional data and adaptive strategies,also pro-poses some innovations about mining model. |
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| Keywords: | data mining high dimensional data reducing dimensions clustering attribute |
| 本文献已被 CNKI 等数据库收录！ |
