The initial post on Data Mining has recieved till date more than 800 hits.:-)
This is another post which will feature the life cycle of any Data Mining Project
Step 1: A mining model is built which consists of a sample data. The sample data is the source data using which the business has to conduct any predictive analytical process.
Step 2: The mining model is then exposed to a training model. The training model is the sort of sample data which will be used to extact patterns from the underlying mining model using the Data Mining Engine.
Step 3: The refined mining model is now exposed to a set of data which is to be predicted. the Data Mining engine will then produce the "Predicted Data" for a relative scenario.
The process of Data Mining is gradual and a continuous learning model. The sole target is to refine the mining model to produce crispier and reliable model.
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