Exact(8)
Consequently, efficient knowledge discovery algorithms for mining frequent subgraphs from these dynamic streaming graph structured data are in demand.
One may note that structured data are tagged, and can easily be stored as well as analyzed, but unstructured data are scattered and difficult to analyze.
All pieces of information, recorded in the form of two-dimensional arrays of structured data, are then integrated and transformed into 3D images by means of dedicated software.
Hierarchically structured data are very common or even unavoidable for data mining and knowledge discovering from the perspective of granular computing in real-life world.
While sources like the network and cloud file systems store the unstructured data, the structured data are usually stored in a typical relational database management system (RDBMS).
In XML files, structured data are bounded by tags and attributes.
In addition, structured data are collected and reports generated about responses to reminders.
Clinicians should be educated about why good structured data are needed and why data integrity is so important [ 44].
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