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发表于 2025-3-21 18:54:24 | 显示全部楼层 |阅读模式
书目名称Guide to Big Data Applications
编辑S. Srinivasan
视频video
丛书名称Studies in Big Data
图书封面Titlebook: ;
出版日期Book 2018
版次1
doihttps://doi.org/10.1007/978-3-319-53817-4
isbn_softcover978-3-319-85249-2
isbn_ebook978-3-319-53817-4Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
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Conclusions, Contributions, and Future Work,pitals have the data from local patients. On the other hand, data from the same patient can also spread across multiple hospitals and institutions when she makes multiple visits. There are many benefits to use distributed data together in research studies but it is challenging to pool the raw data d
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https://doi.org/10.1007/978-1-4614-4921-8ystems. Big Data or analytics platforms share some of the same characteristics but as of today are limited somewhat in their guarantees on latency and throughput. The application of Big Data platforms has been in solving problems where data that is being operated upon is in motion while HPC has trad
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Singular Integral Equations in Aerodynamics,. This phenomenon has been observed in various real-world social networks, dating back to a seminal 1991 paper by S.L. Feld. In recent years, the availability of large volumes of data on online social networks has allowed researchers to also study generalizations of the core friendship-paradox idea
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Distributional Equations on the Whole Line,ying the redundancy in data, removing all but one copy (or . copies) of duplicate data, and making all references point to that copy. Existing techniques often require access to the content of data in order to establish redundancy. As more sensitive information is stored on clouds, encryption is com
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