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Data Mining
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Data Mining Project Life Cycle
Data Mining Project Life Cycle
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Raunak Jhawar
Raunak Jhawar
Posted Friday, October 15, 2010 12:42 AM
SSC Eights!
Group: General Forum Members
Last Login: Wednesday, May 15, 2013 11:25 PM
Points: 946,
Visits: 1,739
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.
Regards/Raunak
Now a member of Linkedin
Please visit the all new
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Please visit the all new
Data Mining and Business Analytics Forum
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Pete23Mid
Pete23Mid
Posted Thursday, December 30, 2010 9:13 AM
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Last Login: Saturday, January 15, 2011 2:36 AM
Points: 12,
Visits: 19
OK, and how do you include "unknown unknowns" into your model. That was the first question, second question would be, what about inovation, like new product or new service, with distinct adwantage over the competition. Like Bill Gates v IBM, Google v Alta Vista and Yahoo.
green smoke reviews
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