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An advanced parallel computing system will also help scientists create Web browsers that can more quickly pull in complex data, process it and display it.
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However, the conducted experimental tests lead to huge amount of heterogeneous data and thus require a complex data analysis process.
However, the integrative data access approach involves a more complex data handling process.
Then, in an emergency setting, a comprehensive database with a complex data collection process was established.
A complex data compilation process, not always exempt from possible bias, was required in view of the need to resort to different sources of information using ad hoc procedures, and so as to avoid upsetting the normal conditions of professional nursing practice, without exerting any influence on nursing staff.
NNDSS is a relatively inflexible system that cannot readily accommodate newly desired data elements, and complex data transmission processes and challenges might compromise the quality of data received at the Centers for Disease Control and Prevention CDCCenters for Disease Control and Prevention CDC
Furthermore, we present a research infrastructure which is adapted to this new process model and demonstrate how the domain-expert can be deeply integrated even into the highly complex data-mining process and data-exploration tasks.
The novelty of the approach lies in avoiding the complex data de-identification process which is often used to preserve patient privacy.
It can take hours for complex data to be processed accurately.
Since graphics processors are not designed to process complex data structures, it is crucial to explore data structures and algorithms for efficient stream processing.
How to reduce the computational complexity of graph cut clustering to process the massive complex data has become a challenging problem.
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