| 基于分布式科研项目数据的关联模式挖掘框架 |
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| 引用本文： | 胡少华.基于分布式科研项目数据的关联模式挖掘框架[J].情报杂志,2012,31(8):156-160. |
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| 作者姓名： | 胡少华 |
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| 作者单位： | 科学技术部信息中心 北京100862 |
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| 摘 要： | 储存于不同组织实施环节的科研项目数据中隐含了大量有用的关联模式信息,针对科研项目数据的分布性特点,提出了基于采集代理和中心节点的采集挖掘体系框架,一方面依据转换规则库、映射规 则库、元数据参照进行集成、转化、清洗和归一化处理,形成语义一致、面向不同主题的科研项目特征数据;另一方面建立特征属性定义表,利用多维关联规则实现对科研项目关联模式的挖掘分析.
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| 关 键 词： | 分布式数据 数据挖掘 数据处理 关联规则 科研项目 |
Association Pattern Discovery Framework Based on Distributed Research Project Data |
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| HU Shaohua.Association Pattern Discovery Framework Based on Distributed Research Project Data[J].Journal of Information,2012,31(8):156-160. |
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| Authors: | HU Shaohua |
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| Institution: | HU Shaohua(Information Center,Ministry of Science and Technology,Beijing 100862) |
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| Abstract: | Research project data stored in a variety of management information systems contain useful knowledge of association patterns.A framework aiming at data collection and data mining is presented,which consists of distributed data agents and a processing center.On the one hand,based on transforming rules and mapping rules,as well as metadata references,the framework provides functions such as data integrating,data cleaning,data normalizing;on the other hand,with a specific mapping definition for data attributes,project association patterns can be reached through algorithm of multi-dimension association rules. |
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| Keywords: | distributed data data mining data processing association rules research project |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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