| 大数据下的空间数据挖掘思考 |
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| 引用本文： | 王树良,丁刚毅,钟鸣.大数据下的空间数据挖掘思考[J].中国电子科学研究院学报,2013,8(1):8-17. |
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| 作者姓名： | 王树良 丁刚毅 钟鸣 |
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| 作者单位： | 北京理工大学软件学院,北京,100081 |
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| 基金项目： | 国家自然科学基金(61173061);高等学校博士点基金(20121101110036) |
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| 摘 要： | 对大数据背景下思考空间数据挖掘，分析了空间数据在大数据中的基础地位，综述了国际学术界、企业界和政界对大数据的关注；分析了空间大数据面临的垃圾多、污染重、利用难的现状，剖析了空间大数据蕴含的价值；探讨了从空间大数据中挖掘知识的技术，以及知识变为数据智能的途径。
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| 关 键 词： | 大数据 空间数据挖掘 数据智能 |
On Spatial Data Mining under Big Data |
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| WANG Shu-liang
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DING Gang-yi
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ZHONG Ming.On Spatial Data Mining under Big Data[J].Journal of China Academy of Electronics and Information Technology,2013,8(1):8-17. |
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| Authors: | WANG Shu-liang DING Gang-yi ZHONG Ming |
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| Affiliation: | (School of Software,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | Spatial data mining is thought over under the umbrella of big data in this paper. First of all, it is analyzed that spatial data plays a primary role in big data for most objects are location-based distribution. The state-of-the-art of big data is summarized within researchers, industries and governments of the world. Then, facing such issues as data waste, data pollution and difficult utilization, the value of spatial big data are affirmed. Finally, the techniques are analyzed to discover knowledge from spatial big data, and to further make knowledge changed into data intelligence. |
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| Keywords: | Big data Spatial data mining Data intelligence intelligence |
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