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The system detects unusually high case counts and is based on state-of-the-art statistical procedures for data mining (Salmon et al. 2016).
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Our procedure is a kernel-based exploratory tool for data mining that enables us to extract nonlinear features while representing variables.
For the development of such a research programme for diagnostic imaging and interventional procedures, reference to a centralised repository of imaging data would be an important resource for data mining and the following risk assessment (see Sects. 3.5.1 and 3.5.2).
A six-step methodology for data mining is then presented.
These properties may be used for data mining studies.
They were developed primarily for data mining.
Data pre-processing is crucial for data mining.
We developed our own software for data mining.
Additionally, ChEMBL provides tools and resources for data mining.
PJ was responsible for data mining using pathway analysis tools.
These datasets have provided great opportunities for data mining.
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