Examples of using Distributed data in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Apt for distributed data recovery over LAN.
Google maintains a number of geographically distributed data centers.
Normally distributed data were expressed as mean± standard deviation.
Human computation, open call, and distributed data collection Figure 5.1.
Normally distributed data are presented as mean± standard deviation.
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Redundancy is an important way to assess the quality of distributed data collection.
By distributed data we mean that data should be fragmented.
Global data access- provides distributed data leverage global networks.
In distributed data collection projects, volunteers contribute data about the world.
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
Purdam(2014) described a distributed data collection about begging in London.
PhotoCity solves the data quality andsampling problems in distributed data collection.
Normally distributed data were expressed as the means± standard deviation.
Specialist in implementation of solutions with Distributed Data Bases. Specialization studies in USA.
Conclusion Distributed data collection is possible, and in the future will likely involve technology and passive participation.
This course covers distributed data processing with Hadoop and MapReduce in addition to the use of Condor for distributed computation.
Manage your IoT landscape andmake better business decisions using secure, globally distributed data, analytics, cloud and edge capabilities.
As eBird demonstrates, distributed data collection can be used for scientific research.
Existing applications should continue to operate successfully::: when a distributed version of the DBMS is first introduced; and::when existing distributed data are redistributed around the system.
Table 5.3: Examples of distributed data collection projects in social research.
Normally distributed data were expressed as mean± standard deviation and non-normally distributed data were expressed as median minimum-maximum.
To compare more than two groups, a Kruskal-Wallis test nonparametric distributed data was used, and the results were assessed using post-hoc analysis.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
For normally distributed data, Student's t-test was used for comparisons between two groups, and analysis of variance was used for comparisons between more than two groups.
Descriptive analyses were performed for normally distributed data using the Shapiro-Wilk test presenting the means and standard deviations.
Distributed data stores, by contrast, require using a different API or library and have different semantics most often those of a database.
Introduction DNS orDomain Name System is a distributed data base system which allows the translation of name to an IP address or vice versa.
Freely distributed data are presented as median 25percentile and 75 percentile, and intergroup comparisons were performed using the Kruskal-Wallis test followed by Dunn's test.