傀儡
发表于 2025-3-25 05:20:44
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coddle
发表于 2025-3-25 11:26:09
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蛤肉
发表于 2025-3-25 13:06:54
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amplitude
发表于 2025-3-25 16:04:45
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闹剧
发表于 2025-3-25 21:01:21
https://doi.org/10.1007/978-3-642-39467-6Web information extraction; data management; network mining; parallel databases; semantic databases; data
oxidize
发表于 2025-3-26 02:04:09
978-3-642-39466-9Springer-Verlag Berlin Heidelberg 2013
Charitable
发表于 2025-3-26 06:55:06
Querying Big Social Datauery classes can be considered tractable in the context of big data? How can we make query answering feasible on big data? What should we do about the quality of the data, the other side of big data? This paper aims to provide an overview of recent advances in tackling these questions, using social network analysis as an example.
杀死
发表于 2025-3-26 11:14:15
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Endometrium
发表于 2025-3-26 16:10:58
Ali Cavit,Haluk Ozcanli,A. Merter Ozencitudy, explain, and solve the technical challenges in big data, but we find no inspiration in the three Vs. Volume is surely nothing new for us, streaming databases have been extensively studied over a decade, while data integration and semistructured has studied heterogeneity from all possible angles.
SPURN
发表于 2025-3-26 20:09:45
Big Data Begets Big Database Theorytudy, explain, and solve the technical challenges in big data, but we find no inspiration in the three Vs. Volume is surely nothing new for us, streaming databases have been extensively studied over a decade, while data integration and semistructured has studied heterogeneity from all possible angles.