Not all of this data is required on a regular basis and it should be filtered out of the query tables. For example, when creating a classification or prediction model, it may be adequate to sample the table first and then mine the sample. This is usually a faster and less expensive operation.
There are several potential sources of data that may be useful in a data mining application:
- Census data
- Sales records
- Mailing lists
- Demographic databases.
These sources should all be explored before performing an analysis of the data. The selected data types may be organized along multiple tables. Developing a sound model involves combining parts of separate tables into a single database for mining purposes.
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