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2015-10-23
[tongue] 想要找一篇跟大数据相关的英文论文,麻烦各位推荐推荐,,,最好是国外的研究者写的,大概二十多页左右,如果不是的话,也希望是中外研究者一起写的,以求论文中的思维更加的宽广一点。
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2015-10-23 23:31:05
爬墙上google scholar,一搜一堆...对这个不了解,否则倒是可以帮你用我们学校图书馆搜一搜
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2015-10-23 23:36:14
白7 发表于 2015-10-23 23:31
爬墙上google scholar,一搜一堆...对这个不了解,否则倒是可以帮你用我们学校图书馆搜一搜
好的好的,,我来看看,,,我学校坑爹的,在寝室竟然没法子进内网~谢谢哇
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2015-10-23 23:42:52
鬼玉公子 发表于 2015-10-23 23:36
好的好的,,我来看看,,,我学校坑爹的,在寝室竟然没法子进内网~谢谢哇
或者你给我几个英文关键词,我帮你检索一下。人在墙外,比较方便
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2015-10-23 23:50:11
白7 发表于 2015-10-23 23:42
或者你给我几个英文关键词,我帮你检索一下。人在墙外,比较方便
big data,enconomics,business management~~~ 大数据给经济和管理上带来的影响以及新的挑战,这一类的~~~麻烦你咯
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2015-10-23 23:59:57
Trends in big data analytics
by Kambatla, Karthik; Kollias, Giorgos; Kumar, Vipin; Grama, Ananth
One of the major applications of future generation parallel and distributed systems is in big-data analytics. Data repositories for such applications currently exceed exabytes and are rapidly increasing in size. Beyond their sheer magnitude, these datasets and associated applications' considerations pose significant challenges for method and software development. Datasets are often distributed and their size and privacy considerations warrant distributed techniques. Data often resides on platforms with widely varying computational and network capabilities. Considerations of fault-tolerance, security, and access control are critical in many applications (Dean and Ghemawat, 2004; Apache hadoop). Analysis tasks often have hard deadlines, and data quality is a major concern in yet other applications. For most emerging applications, data-driven models and methods, capable of operating at scale, are as-yet unknown. Even when known methods can be scaled, validation of results is a major issue. Characteristics of hardware platforms and the software stack fundamentally impact data analytics. In this article, we provide an overview of the state-of-the-art and focus on emerging trends to highlight the hardware, software, and application landscape of big-data analytics.
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