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Big data is a collection of data sets which are too large and complex to be processed using traditional data processing methods.
The research also emphasized that as an entity, big data comprises volume of information that usually cannot be processed using traditional database and software techniques.
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Cells are captured in the microwells to create an array of cells embedded in agarose, which can then be processed using the same methods as the traditional comet assay (e.g., lysis and electrophoresis).
Figure 5 Comparison of fermented Ivory Coast (Ivorian) cacao beans that have been left unprocessed, have been roasted and ground using traditional methods (Traditional Process) and have been processed using modern processing.
Figure 4 Comparison of unfermented (Lavado) cacao beans that have been left unprocessed, have been roasted and ground using traditional methods (Traditional Process) and have been processed using modern processing.
Subsequently, the arrayed cells are processed using conditions that are similar to the traditional assay.
However, the massive amounts of data that these scans generate are hard to process using traditional methods.
Such data collection is so large and complex that it becomes difficult to process using traditional molecular modeling process and target-ligand interaction applications.
While no single entity is working with data at this magnitude, many industries are still generating data too large to be processed efficiently using traditional techniques.
It is not easy to guess the blank shape in stretch flange process using traditional trials.
The nonbinary-class data sets are pre-processed using either traditional method (One versus One (OVO) and One versus All (OVA)) or the suggested LVH method.
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