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題名:大數據環境下的智庫情報分析研究
書刊名:情報理論與實踐
作者:楊瑞仙魏子瑤權明喆
出版日期:2017
卷期:2017(8)
頁次:30-36
主題關鍵詞:智庫情報分析大數據Think tankIntelligence analysisBig data
原始連結:連回原系統網址new window
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[目的/意義]智庫作為依存于信息的情報服務機構,在大數據時代迎來了新挑戰,探討智庫在信息分析過程中如何通過創新順應大數據趨勢,具有一定的借鑒意義。[方法/過程]通過對文獻及國際權威智庫官網的調研,基于大數據的特點,厘清大數據與智庫情報分析之間的關系,并從理念、工具及方法三個方面,探討大數據時代對智庫情報分析的影響及要求。[結果/結論]大數據時代,智庫情報分析員應更新信息分析理念,使用的工具和方法應能夠及時采集和快速預處理大規模數據,同時滿足情報分析員高效分析和科學決策的要求。
[Purpose/significance] As intelligence service organizations which heavily rely on information,think tanks are facing new challenges in the era of big data. So it can provide references to other studies by discussing how think tanks adapt to the big data trend in the process of information analysis by innovation. [Method/process]By the investigation of literatures as well as official websites of international famous think tanks,this paper first clarifies the relations between big data and intelligence analysis of think tanks based on the characteristics of big data,and then discusses the influence and requirements of big data era on the construction of think tanks from ideas,tools and methods. [Result/conclusion] In the era of big data,intelligence analysts of think tanks should update ideas of information analysis,and use tools and methods that can collect and quickly preprocess large-scale data,thus meeting the requirements for efficient analysis and scientific decision-making.
期刊論文
1.鄔賀銓(2013)。大數據時代的機遇與挑戰。求是,2013(4),47-49。  延伸查詢new window
2.李廣建、化柏林(2014)。大數據分析與情報分析關係辨析。中國圖書館學報,2014(5),14-22。  延伸查詢new window
3.王寧江(2016)。大數據智庫。浙江經濟,2016(4)。  延伸查詢new window
4.施燕斌、夏尊風(2001)。倫敦國際戰略研究所。國防科技,2001(6),86-87。  延伸查詢new window
5.朱建平、章貴軍、劉曉葳(2014)。大數據時代下數據分析理念的辨析。統計研究,31(2),10-17。  延伸查詢new window
6.陳開敏(2014)。大數據技術助貴州智庫轉型升級。管理觀察,27,178-180。  延伸查詢new window
7.張軍、周磊、慕慧鴿(2015)。國際權威智庫定量研究方法進展與趨勢。圖書情報工作,59(7),132-139。  延伸查詢new window
8.化柏林、李廣建(2015)。大數據環境下多源信息融合的理論與應用探討。圖書情報工作,59(16),5-10。  延伸查詢new window
9.Li, X.、Dong, X. L.、LYONS, K.(2015)。Truth finding on the deep web : is the problem solved?。Proceedings of the Vldb Endowment,6(2),97-108。  new window
10.方巍、鄭玉、徐江(2014)。大數據:概念、技術及應用研究綜述。南京信息工程大學學報,6(5),405-419。  延伸查詢new window
11.江信昱、王柏弟(2014)。大數據分析的方法及其在情報研究中的適用性初探。圖書與情報,2014(5),13-19。  延伸查詢new window
12.耿瑞利(2016)。大數據環境下情報學在智庫建設中的作用。圖書情報研究,2016(2),19-25。  延伸查詢new window
13.COHEN, J.、DOLAN, B.、DUNLAP, M.(2009)。Mad skills: new analysis practices for big data。Proceedings of the Vldb Endowment,2(2),1481-1492。  new window
會議論文
1.GOTTLOB, G.、ZICARI, R.(1988)。Closed world databases openedthrough null values。The 14th International Conference on very Large Databases,50-61。  new window
學位論文
1.王海峰(2016)。大數據智庫:中國特色新型智庫建設途徑研究(-)。華東政法大學,上海。  延伸查詢new window
圖書
1.IDC(2012)。Worldwide big data technology and services 2012-2015 forecast。Massachusetts。  new window
2.Manyika, James、Chui, Michael、Brown, Brad(2011)。Big data: The next frontier for innovation, competition, and productivity。Mckinsey Global Institute。  new window
其他
1.Gobelink, M.(20121002)。Big-data computing: creating revolutionary breakthroughs in commerce, science and society。  new window
2.RAND Corporation。The Korean Armistice Conference: a personal memoir,http://www.rand,org/pubs/papers/P7869.html。  new window
3.McKinsey Solutions。Panorama Global Banking Pools,http://www.mckinsey.com/solutions/panorama-global-banking-pools。  new window
4.McKinsey & Company。Periscope,http://www.periscope-solutions.com/。  new window
5.RAND Corperation。Center for scalable computing and analysis,http://www.rand.org/capabilities/methods-centers/scalable-computing-and-analysis. html。  new window
6.MAS, I.,PORTEOUS, D.。How the spread of smartphones will open up new ways of improving financial inclusion,https://www.brookings.edu/blogs/techtank/2014/12/02/how-the-spread-of-smartphones-will-open-up-new-ways-of-improving-financial-inclusion/。  new window
7.RAND Corperation。Center for applied network analysis and system science,http://www.rand.org/capabilities/methods-centers/network-analysis.html。  new window
8.RAND Corperation。Methods Centers at RAND,http://www.rand.org/capabilities/methods-centers.html。  new window
 
 
 
 
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