3: Overview of the data mining process
Here we elucidate common steps in the data mining process, from raw data to science result. While each particular case will be unique, and driven by the particular science question being addressed, many of the issues encountered are common to different pieces of work, and we describe those here.
- Data collection
- Data preprocessing
- Attribute selection [Incl. dimension reduction]
- Selection of algorithm
- Improving results
- Algorithm application and limitations
Under construction by group members
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NickBall - 05 Sep 2010