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Few articles have implemented an integrated approach for usability evaluation mainly with knowledge discovery in database process (i.e. association rules and decision rules are implemented) and significant usability problem patterns are identified belonging to homepages of websites [8, 12].
Overall, the time needed to create a single database, process indicators for each HCP and analyze data was about 9 weeks of work by one person.
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Its database processes 25,000 insert, update or delete transactions a second.
We would need to develop database processes to help keep current with voters' changing residences.
Patients are scheduled for dialysis every 48 72 hours, and because most hospitalizations will result in a treatment absence, a hospitalization is discovered in this manner; additionally, database processes exist to capture hospitalizations not resulting from a treatment absence.
Unlike relational databases [2], NoSQL databases process and manage big data which is characterised by 3Vs (Volume, Variety, Velocity) [3].
Data mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in databases process.
The development of multiple methods that compile experimentally derived protein interactions from curated databases, process the interaction graphs, cluster related modules, discover novel associations and visualize them [ 77, 78] appears to have out-shined valuable genome-aware inference methods.
Data mining is one of the "Knowledge Discovery in Databases" processes.
Even though we measured source-to-database processes, it is reassuring that this limit is within industry expectations for CRF-to-database processes.
This is a common problem encountered when attempting to combine data across research laboratories unless identical sequence databases, processes, platforms and organism names are used.
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