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The open issues for data routing include the characterization of parameters which causes the data skew.
Specifically, three major issues for data management are introduced: storage, query processing, and data collection.
Therefore, several new issues for data analytics come up, such as privacy, security, storage, fault tolerance, and quality of data [70].
Finally, the facility settings and maintenance issues for data centers that are important in the performance and the efficiency of DCN's are also briefly discussed.
We discuss the open issues for data routing in opportunistic MSNs, including limitations of routing metrics, collection of social information, social privacy and security, future applications of opportunistic MSNs, and etc.
The log transformation is a variance-stabilizing transformation, which effectively compresses large values of the data while stretching smaller values, thus mitigating outlier issues for data points that may otherwise appear anomalous.
Similar(53)
While a vision of full interoperability between ontologies overcomes some of the barriers to integration, there still remain unresolved issues for data-driven applications.
Recommended practices in answering questions will emerge, enabling us to assess websites on an equal basis, comparing them on the key issues that matter for data portability.
Data redundancy is the key issue for data analysis in big data environments.
A critical issue for data gathering in wireless sensor networks is the formation of energy holes near the sinks.
This research aims to develop an integrated visualization mechanism using accumulated data from sensors, rather than the issue for data integrity or the analysis of indoor environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com