| 基于聚类优化的模糊OLAP查询技术研究 |
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| 引用本文： | 曹晓霞. 基于聚类优化的模糊OLAP查询技术研究[J]. 杭州电子科技大学学报, 2013, 0(1): 48-51 |
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| 作者姓名： | 曹晓霞 |
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| 作者单位： | 丽水学院工学院,浙江丽水323000 |
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| 摘 要： | 模糊查询是OLAP领域的一个重要研究课题。该文对模糊OLAP查询及操作进行了形式化描述；在此基础上，针对某一概念过滤掉隶属度低的数据，并应用降维思想和模糊C均值聚类算法进行聚类，从而使得查询匹配的复杂度降低。实验结果表明，算法是有效的，提高了查询的效率。
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| 关 键 词： | 模糊查询 隶属度 过滤 降维 |
Research of Clustering Based Fuzzy OLAP Query Optimization Technology |
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| CAO Xiao-xia. Research of Clustering Based Fuzzy OLAP Query Optimization Technology[J]. Journal of Hangzhou Dianzi University, 2013, 0(1): 48-51 |
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| Authors: | CAO Xiao-xia |
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| Affiliation: | CAO Xiao-xia ( Lishui University Institute of technology, Lishui Zhejiang 323000, China) |
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| Abstract: | Fuzzy query and operation. It filters dimensionality reduction results show the method is an important filed in OLAP. This paper gives a formalization of fuzzy OLAP query out the low degree of membership date for a ＂concept＂ using fuzzy fuction, then the and FCM algorithm are used to cluster, so it can get a low complexity. Experimental is effective to improve the effciency of the query. |
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| Keywords: | fuzzy query degree of membership filter out dimensionality reduction |
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