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Large data has been accumulating in all aspects of our lives for quite some time.
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For large enterprises, big data has become an insurmountable force.
In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery.
Although unstructured data is becoming more pervasive Hadoop, an open-source framework for storing large scale data, has developed substantially in the last decade.
Large scale data has brought both benefits and challenges to the field of machine learning.
However, no large epidemiologic data has been reported in the northeast of China.
By illustrating the data with a graph model, a framework for analyzing large-scale data has been presented [ 59].
Effective utilization of these large-scale data has been validated useful in analyzing individual disease proteins or related complexes.
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