| 属性内-融合与数据融合挖掘 |
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| 引用本文： | 邱育锋,汤积华. 属性内-融合与数据融合挖掘[J]. 山东大学学报(自然科学版), 2014, 0(6): 11-17 |
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| 作者姓名： | 邱育锋 汤积华 |
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| 作者单位： | 龙岩学院数学与计算机科学学院,福建龙岩364012 |
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| 基金项目： | 福建省教育厅科技项目（JB10171）;福建省龙岩市科技计划项目（2011LY20）;福建省自然科学基金资助项目（2013J01028） |
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| 摘 要： | 属性融合是潜藏在 P-集合内的一个重要的应用特性，P-集合的动态特性来自 P-集合的属性融合。利用内 P-集合的结构与动态特性，给出属性内-融合概念、结构和定理，最后给出在属性内-融合条件下的数据融合挖掘和数据融合挖掘准则与数据融合挖掘-筛选的应用。
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| 关 键 词： | P-集合 属性内-融合 内-融合定理 数据融合挖掘 挖掘准则 |
Attribute inner fusion and data fusion mining |
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| QIU Yu-feng,TANG Ji-hua. Attribute inner fusion and data fusion mining[J]. Journal of Shandong University(Natural Science Edition), 2014, 0(6): 11-17 |
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| Authors: | QIU Yu-feng TANG Ji-hua |
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| Affiliation: | (School of Mathematics and Computer Sciences, Longyan University, Longyan 364012, Fujian, China) |
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| Abstract: | Attribute fusion is an important applied characteristic hidden in packet sets, whose dynamic features come from its attribute fusion.By using internal packet sets structure and their dynamic features, the concept and structure of attribute inner fusion are proposed, and attribute inner fusion theorem is given.Then data fusion mining under the con-dition of attribute inner fusion is put forward.Moreover, the application of mining criterion with mining-screening of data fusion is shown. |
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| Keywords: | packet sets attribute inner fusion inner fusion theorem data fusion mining mining criterion |
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