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MapReduce [1] is considered one of the most prominent programming models for problems of large scale data processing of which the cluster analysis.
Although there is a variety of parallel programming models, the MapReduce paradigm is considered as the most prominent model for problems of large scale data processing of which the clustering.
A total number of 277 patients were identified using computerized data processing, of which 118 patients gave written informed consent and participated in the study.
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Example(s): The study in Box 3 involves several stages of sample and/or data processing, each of which may require implementation of specific QC procedures.
There is an urgent need to develop standards for data processing of flow and analysis systems, which would allow fast data processing to facilitate higher-magnitude time series data [3, 18].
Data processing of metabolomics data.
Artificial neural networks are some kind of data processing systems, which try to simulate features of the human brain and its learning process.
Data providers maintain complete control of the security of their own PHI and also maintain control over the operation of the data processing software, which runs on one of their secured workstations.
The system configuration of the ultrafast data processing system, which is comprised of a multi-channel DAQ system with multi-FPGAs and a PC with a GPU board, is explained in detail in section 2.3.
After the time consumption characteristics have been predicted, we can infer the cost of big data processing jobs, which depends on the characteristics of time consumption.
Tensor decomposition is a kind of higher-order data processing framework which can make use of the multidimensional and highly structured features in signal [22 24].
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