Examples of using Distributed data in English and their translations into Greek
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Distributed Data Processing.
Thematic tags: Distributed data management.
Redundancy is an important way to assess the quality of distributed data collection.
A classic example of a distributed data collection is eBird, in which hundreds of thousands of volunteers contribute reports about birds they see.
Finally, one could argue that Peer-to-Patent is an example of distributed data collection.
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Further, it shows that distributed data collection projects are not limited to tasks that people are already doing anyway, such as watching birds.
Crate offers an impressive technology that lets startups andcompanies easily set up distributed data centres.
IMSI, Thematic Tag: Distributed data management.
Both Purdam(2014) and Windt and Humphreys(2016)have some discussion about the ethical issues in distributed data collection.
For real-valued, independent and identically distributed data, we fit a power-law distribution of the form.
If necessary, insert a number of empty columns that will be sufficient to contain each of the constituent parts of the distributed data.
The design of PhotoCity solved two problems that often arise in distributed data collection: data validation and sampling.
Further, in distributed data collection, a scoring system can also be used to focus individuals on providing the most useful input, as was done in PhotoCity.
In fact, much of quantitative social science already relies on distributed data collection using paid staff.
In human computation and distributed data collection projects, moreover, the best form of quality control comes through redundancy, not through a high bar for participation.
Overall, the PhotoCity project shows that sampling anddata quality are not insurmountable problems in distributed data collection.
Going forward, I suspect that many distributed data collection projects will begin to make use of capabilities of the mobile phones that are already carried by billions of people around the world.
If a disk gets an error or starts to fail,then data is recreated from this distributed data and parity block automatically.
Maximum likelihood====For real-valued, independent and identically distributed data, we fit a power-law distribution of the form: formula_53to the data formula_54, where the coefficient formula_36 is included to ensure that the distribution is normalized.
EBird researchers have two main solutions to these data quality issues-solutions that might be helpful in other distributed data collection projects as well.
As the examples below-from ornithology andcomputer science-show, distributed data collection enables researchers to collect data more frequently and in more places than were possible previously.
Scott's normal reference rule tries to minimize the bias in variance of the histogram compared with the data set,while assuming normally distributed data.
If the disk fails or crashes,the data is reconstructed from the distributed data and the parity block is integrated and automated.
The combination of assets features new machine learning capabilities from SAP Leonardo, a set of intelligent technologies the company introduced last year, as well as the new SAP HANA Data Management Suite,which enables companies to gain visibility and control of their highly distributed data.
If a disk gets an error or starts to fail,data is recreated from this distributed data and parity block- seamlessly and automatically.
Chi-squared tests are often constructed from a sum of squared errors, or through the sample variance.Test statistics that follow a chi-squared distribution arise from an assumption of independent normally distributed data, which is valid in many cases due to the central limit theorem.
The Ushahidi Engine is a free andopen source platform that allows anyone to gather distributed data via SMS, email or web and visualize it on a map or a timeline.
I choose to include it as an open call because it has a contest-like structure andonly the best contributions are used, whereas with distributed data collection, the idea of good and bad contributions is less clear.
Test statistics that follow a chi-squared distribution arise from an assumption of independent normally distributed data, which is valid in many cases due to the central limit theorem.
Azure distributes data across multiple data centers, so that in the event of a fire or disaster, it can be automatically and seamlessly shifted to other stable and secure locations.