FLAT
发表于 2025-3-25 03:45:50
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HEAVY
发表于 2025-3-25 08:56:30
ional, legal, and commercial issues remain to leverage data satisfactorily, specially when the data is distributed among different locations and confidentiality must be preserved. Data platforms can offer “ad hoc” solutions to tackle specific matters within a data space. MUSKETEER develops an Indust
chondromalacia
发表于 2025-3-25 12:03:56
H. Kaspernomic activities in every industry sector. Technology is not going to be a barrier anymore; however, where there is large deployment of technology, the production of data creates a growing demand for better data-driven services, and at the same time the benefits of the production of the data are at
急性
发表于 2025-3-25 17:45:02
Klaus Krentzrts compliance with the General Data Privacy Regulation (GDPR) for personal data handling as part of data security infrastructure for sensitive application environments such as healthcare. State-of-the-art shared dataspaces typically do not consider sensitive data and privacy-aware log records as pa
Credence
发表于 2025-3-25 20:06:04
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不要严酷
发表于 2025-3-26 04:11:42
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FIN
发表于 2025-3-26 07:59:03
Hans Adolf Kühnlly streaming nature of big data, which mandates efficient algorithms for querying and analyzing massive, continuous data streams (that is, data that is seen only once and in a fixed order) with limited memory and CPU-time resources. Such streams arise naturally in emerging large-scale event monitor
Melodrama
发表于 2025-3-26 09:48:55
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phytochemicals
发表于 2025-3-26 13:09:20
Hans Adolf Kühnuding results presented in some of the other chapters, assume that all data elements seen so far in the stream are equally important and synopses, statistics or models that are built should reflect the entire data set. However, for many applications this assumption is not true, particularly those th
好忠告人
发表于 2025-3-26 19:48:14
Kurt Beckthms, and analytics, and progressing to more advanced stream.This volume focuses on the theory and practice of .data stream management., and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authoriti