Biomedical Engineering Reference
In-Depth Information
Methods
Data mining isn't an endpoint, but is one stage in an overall knowledge-discovery process. It is an
iterative process in which preceding processes are modified to support new hypotheses suggested by
the data.
As illustrated in
Figure 7-1
, given a data warehouse or separate databases, the knowledge-discovery
process involves:
1. Selection and sampling of the appropriate data from the database(s)
2. Preprocessing and cleaning of the data to remove redundancies, errors, and conflicts
3. Transforming and reducing data to a format more suitable for the data mining
4. Data mining
5. Evaluation of the mined data
6. Visualization of the evaluation results
7. Designing new data queries to test new hypotheses and returning to step 1
Figure 7-1. Data Mining. Data mining operations are shown here in the
context of a larger knowledge-discovery process.
