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However, publishing non-aggregated data raises serious concerns in data privacy.
These three issues are taken as the primary concerns in data mining engine.
Long-term extension (LTE) phases of clinical trials typically are associated with special concerns in data reporting because of the bias resulting from assessment only of patients who were responding to treatment and who continued study participation [ 3].
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For further details concerning in-data and settings consult the XML-files (Additional files 7 and 8).
Whereas the security and privacy concerns in data-centric storage are addressed in [3].
Energy consumption is an increasingly important concern in data centers.
Cost minimization is a major concern in data center networks (DCNs).
Data publishing is an easy and economic means for data sharing, but the privacy risk is a major concern in data publishing.
Accuracy should be the more important concern in data analysis.
"Privacy and security concerns" section discusses of privacy and security concerns in big data and "Privacy requirements in big data" section covers the Privacy requirement in big data.
This paper focuses on privacy and security concerns in big data, differentiates between privacy and security and privacy requirements in big data.
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