- Exploration is the first stage in the process of data mining. You will want to explore and prepare data, or clean the data you have. If you have a large number of variables to consider, you may need to reduce them to a range that is easy to deal with.
- The second stage of the data mining process is called pattern identification. What this stage consists of is looking for patterns and choose one that will allow you to make the best predictions. One of the best ways to find the best predictive patterns to a given situation is to find which one performs at the highest level.
- The third stage of data mining is deployment but you cannot move to this stage until you have found a pattern from stage 2 that was highly predictive
Friday, March 2, 2012
Process of Data Mining
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Considering how fast technology is changing and how technology is such a necessity in our lives, data mining may become even more vital in the future. Because of how fast things are moving, we don't have time to take our time researching the next wave; data mining will allow us to be more predictive by examining trends and give us the ability to make predictions on a more timely basis.
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