Knowledge Discovery Process

Understanding the Application Domain: The knowledge discovery
process begins by understanding the application domain and the goals of
the data mining process. Previously unknown patterns that are useful and
effective in the decision making process are expected to be gained.


Data Integration and Gathering: In the data integration and gathering
step the target data sets are gathered from different data sources for
example from heterogeneous databases and data warehouses and combined
in a suitable manner. At this step, the relevant data to the analysis process
is targeted and retrieved from the data source

Data Preprocessing: Eliminating errors, ensuring consistency, solving
the problem of missed and repeated data, and transforming the selected
data to format that are appropriate for the data mining procedure, are the
main tasks of this step.

Data Mining: Data mining is the most important step in the knowledge
discovery process in which different techniques are applied to extract interesting
patterns. In this step, the appropriate data mining algorithm(s)
or/and method(s) are decided to be applied on the target data.