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Data provenance and data management in eScience

著者: Qing Liu; et al
出版商: Berlin ; New York : Springer, ©2013.
丛书: Studies in computational intelligence, 426.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
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The highly distributed scientific research enabled by 'escience' features complex interactions in its infrastructure and thus needs strong data provenance and management systems. This book explains  再读一些...

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类型/形式: Electronic books
Databases
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Qing Liu; et al
ISBN: 9783642299315 3642299318
OCLC号码: 805947540
描述: 1 online resource.
内容: Provenance Model for Randomized Controlled Trials / Vasa Curcin, Roxana Danger, Wolfgang Kuchinke, Simon Miles and Adel Taweel, et al. --
Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data / Mahsa Naseri and Simone A. Ludwig --
Unmanaged Workflows: Their Provenance and Use / Mehmet S. Aktas, Beth Plale, David Leake and Nirmal K. Mukhi --
Sketching Distributed Data Provenance / Tanu Malik, Ashish Gehani, Dawood Tariq and Fareed Zaffar --
A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research / Jinhui Yao, Jingyu Zhang, Shiping Chen, Chen Wang and David Levy, et al. --
Data Provenance and Management in Radio Astronomy: A Stream Computing Approach / Mahmoud S. Mahmoud, Andrew Ensor, Alain Biem, Bruce Elmegreen and Sergei Gulyaev --
Using Provenance to Support Good Laboratory Practice in Grid Environments / Miriam Ney, Guy K. Kloss and Andreas Schreiber.
丛书名: Studies in computational intelligence, 426.
责任: Qing Liu...[et al.] (eds.).
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From the reviews: "This book, a compilation of independent chapters, reflects the research work of several groups in the field of data provenance and data management for eScience. ... the book will 再读一些...

 
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