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Nowadays, data centers are designed to offer the highest performance in case of high traffic load and peak utilisation of the network.
Nowadays, data storage requirements from end-users are growing, demanding more capacity, more reliability and the capability to access information from anywhere.
Nowadays, data appliances based on the SQL query processing currently face severe problems such as the I/O bottlenecks and high energy consumption when dealing with vast amounts of data.
Nowadays, data is increasing rapidly.
Nowadays, data centers are effectively being utilized in cloud computing.
Nowadays, data streams [6, 7] are generated naturally within several applications as opposed to simple datasets.
Similar(48)
Nowadays, data-intensive problems are so prevalent that numerous organizations in various industries have to face them in their business operation.
Leveraging the nowadays data-rich environments in many clinical settings, in this paper, we propose a novel clinical data fusion framework that can build a contemporaneous health index (CHI) for degenerative disease monitoring to quantify the severity of deterioration process over time.
Nowadays, the data exist, the data processing technologies are cheap and reliable and comparable information about population health and health care can become readily available.
Data meaning perspective: Due to the fact that, nowadays, most data are dispersed to different regions, systems, or applications, the "meaning" of the collected data from various sources may not be exactly the same, which may significantly impact the quality of the machine learning results.
Nowadays, registry data are therefore superior to non-registry data when assessing outcome and revision rate.
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