Knowledge Discovery in Databases (KDD)

Knowledge Discovery in Databases (KDD)

Some people treat data mining the same as Knowledge discovery while some people view data mining essential step in process of knowledge discovery. Here is the list of steps involved in the knowledge discovery process:

    Data Cleaning – In this step the noise and inconsistent data are removed.

    Data Integration – In this step, multiple data sources are combined.

    Data Selection – This step is relevant to the analysis task retrieved from the database.

  Data Transformation – In this step data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations.

    Data Mining – In this step, intelligent methods are applied to extract data patterns.

    Pattern Evaluation – In this step, data patterns are evaluated.

    Knowledge Presentation – In this step, knowledge is represented.

The following diagram shows the process of knowledge discovery process:

Architecture of KDD