楼主: 鬼玉公子
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[休闲其它] 求大数据的相关英文论文 [推广有奖]

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鬼玉公子 发表于 2015-10-23 23:24:12 |AI写论文

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[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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关键词:英文论文 大数据 Tong 数据相关 研究者 英文论文 大数据

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白7 发表于11楼  查看完整内容

Big data and management by George, Gerry; Haas, Martine; Pentland, Alex Big data is everywhere. In recent years, there has been an increasing emphasis on big data, business analytics, and "smart" living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for i ...

沙发
白7 发表于 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

藤椅
鬼玉公子 发表于 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

板凳
白7 发表于 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

报纸
鬼玉公子 发表于 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

地板
白7 发表于 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.

7
白7 发表于 2015-10-24 00:00:30
Big data analytics with applications
by Bi, Zhuming; Cochran, David
In this paper, recent developments on the Internet of Things (IoT) and its applications are surveyed, and the impact of newly developed Big Data (BD) on manufacturing information systems is especially discussed. Big Data analytics (BDA) has been identified as a critical technology to support data acquisition, storage, and analytics in data management systems in modern manufacturing. The purpose of the presented work is to clarify the requirements of predictive systems, and to identify research challenges and opportunities on BDA to support cloud-based information systems.

8
白7 发表于 2015-10-24 00:01:26
Big data analytics and business analytics
by Duan, Lian; Xiong, Ye
Over the past few decades, with the development of automatic identification, data capture and storage technologies, people generate data much faster and collect data much bigger than ever before in business, science, engineering, education and other areas. Big data has emerged as an important area of study for both practitioners and researchers. It has huge impacts on data-related problems. In this paper, we identify the key issues related to big data analytics and then investigate its applications specifically related to business problems.

9
白7 发表于 2015-10-24 00:02:44
Big Data Analytics for Concurrent Data Processing
by A Samydurai; C Vijayakumaran; G Kumaresan; B Muthusenthil
  Attractively voluminous data describes an immense volume of structured and unstructured data that is difficult to process utilizing traditional database techniques. The tremendous growth in arrival rates of data to support a large number of user queries creates complex problems in the traditional structured databases. In this paper, the input file is assigned to a master who has the ability to split and control the work flow with different workers. This will reduce the fault tolerance issues raised with nodes. They will evaluate the intermediate files and data items. Over again the processed data will be amalgamated and the required output will be immediately/middle file given to the user. Also the first solution for processing perpetual text queries efficiently to address the above challenges is given. The solution indexes the streamed documents in main recollection with a structure predicate on the principles of the inverted file, and processes document advent and expiration events with an incremental threshold-predicated method.

Advanced Technologies & Aerospace Collection

10
白7 发表于 2015-10-24 00:04:01
这些都是比较新的journal article了

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