| 网络动态数据挖掘模式及其关键技术 |
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| 引用本文： | 黄晓斌,张兴旺.网络动态数据挖掘模式及其关键技术[J].图书情报工作,2015,59(10):21. |
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| 作者姓名： | 黄晓斌 张兴旺 |
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| 作者单位： | 1. 中山大学资讯管理学院 广州 510006;
2. 桂林理工大学图书馆 桂林 541004 |
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| 基金项目： | 本文系国家社会科学基金"网页内容分析与挖掘的企业竞争情报方法研究"(项目编号:10BTQ034)研究成果之一。 |
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| 摘 要： | 目的/意义]大数据蕴藏着大知识和大情报,但呈现出价值密度低、分布不规律、价值隐藏深、变化频繁等特征,给数据挖掘工作带来巨大机遇与挑战,有必要探索新的挖掘方式。方法/过程]以大数据环境下网络动态数据挖掘模式作为切入点,从数据生产方式、生产规模及技术成熟性等维度选择金融管理、新型互联网应用、移动互联网位置服务等应用领域,对其基本特征进行分析,最后以Facebook的动态数据挖掘分析平台为例进行系统说明。结果/结论]提出应从体系结构、动态数据传输、系统接口、高可用技术及负载均衡等关键技术入手,对系统进行设计与优化。
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| 关 键 词： | 大数据 动态数据挖掘 动态竞争情报 Facebook |
| 收稿时间： | 2015-04-07 |
The Models and Key Technologies of Dynamic Network Data Mining |
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| Huang Xiaobin,Zhang Xingwang.The Models and Key Technologies of Dynamic Network Data Mining[J].Library and Information Service,2015,59(10):21. |
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| Authors: | Huang Xiaobin Zhang Xingwang |
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| Institution: | 1. School of Information Management, Sun Yat-Sen University, Guangzhou, 510006;
2. Library of Guilin University of Technology, Guilin, 541004 |
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| Abstract: | Purpose/significance]Big data contains big knowledge and big intelligence, but it also has the characteristics of low value density, irregular distribution, hidden value and frequent changes, which brings enormous opportunities and challenges to data mining. It is necessary to explore new ways of mining.Method/process]Taking the network dynamic data mining mode in the big data environment as a starting point, selected the application areas of financial management, the new Internet applications, location-based services, such as mobile Internet data, the basic characteristics were analyzed in terms of production, production scale and technical maturity. Finally, Facebook dynamic competitive intelligence analysis platform was chosen to conduct a systematic analysis.Result/conclusion]It proposes the architecture, the key technology of dynamic data transmission, system interface, high availability and load balancing technology and other aspects of the system design should be optimized. |
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| Keywords: | big data dynamic data mining dynamic competitive intelligence Facebook |
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