DATA MINING PROJECT
Step 1: Define Business
Objectives- This step is similar to any information system project. First of
all, determine whether a data mining solution is really needed. State the
objectives. Are we looking to improve our direct marketing campaigns? Do we
want to detect fraud in credit card usage? Are we looking for associations between
products that sell together? In this step, define expectations. Express how the
final results will be presented and used.
Step 2: Prepare Data- This step consists of data
selection, preprocessing of data, and data transformation.
Select the data to be extracted from the data warehouse. Use the business
objectives to determine what data has to be selected. Include appropriate
metadata about the selected data. Select the appropriate data mining technique(s)
and algorithm(s). The mining algorithm has a bearing on data selection.
Unless the data is
extracted from the data warehouse, when it is assumed that the data is already
cleansed, pre-processing may be required to cleanse the data. Preprocessing
could also involve enriching the selected data with external data. In the preprocessing
sub-step, remove noisy data, that is, data blatantly out of range. Also ensure
that there are no missing values.
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