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Statistics for Big Data: Are Statisticians Ready for Big Data?

大數據時代來臨:統計,您準備好了嗎?

摘要


大數據這名詞朗朗上口,但統計學並未受到應有的重視。當然,統計學家有其自我檢討的必要。本文嘗試著去瞭解到底什麼是大數據?所謂大數據是如何形成,如何被使用的?什麼學科正在從事大數據研究?我們認為統計可以扮演更重要的角色,尤其在解讀大數據和應用大數據方面。從另一個角度看,大數據也提供給統計學一個前所未有的機會,本文提出一些未來發展方向和想法。

關鍵字

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並列摘要


After noting the relative absence of statisticians from the community of practice engaged with big data, we explain what big data is, how it’s done, and who's working with it. The paper then suggests that statisticians have much to contribute to both the intellectual vitality and the practical utility of big data. At the same time, big data challenges statisticians to move out of some familiar habits to engage less structured problems, to become more comfortable with ambiguity, and to engage computer scientists in a more fruitful discussion of what the various parties can bring to this new mode of investigation.

並列關鍵字

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參考文獻


Relative interest as expressed by search queries at Google in the phrase "big data" (retrieved 12/12/13 at http://www.google.com/trends/)
James F. Smith, “Spotlight: Susan Hockfield and the Magic of the Laboratory,” Winter 2012-13 newsletter, Belfer Center for Science and International Affairs, Harvard Kennedy School http://belfercenter.ksg.harvard.edu/publication/22515/spotlight.html.

被引用紀錄


Khiem, N. M. (2015). 基於語義數據存取的Restful/JSON至SPARQL的自動化轉換 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00479
Hsaio, W. H. (2015). 運用半監督式學習法之文件探勘研究 [doctoral dissertation, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00317
張智愷(2011)。基 於 動 態 調 整 權 重 之 co-cluster〔碩士論文,國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2011.00421

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