Answered by Puneet on 2005-05-07 04:24:28: Data mining is a process of extracting hidden trends within a datawarehouse. For example an insurance dataware house can be used to mine data for the most high risk people to insure in a certain geographial area.
Data mining is a process of extracting hidden trends within a datawarehouse. For example an insurance dataware house can be used to mine data for the most high risk people to insure in a certain geographial area.
A datawarehouse typically supplies answer to a question like 'who is buying our products/ . A data mining approach would seek answer to questions like Who is NOT buying our products? .
Simple stated that data mining is the KDD Knowledge discovery in large databases. In this hidden patterns are meant to be discovered. The typical query of data mining is Tell me something I don't know . How can you tell some one the thing he doesn't know all about means you cannot write query to answer this question. So you try to discover some thing using intelligent techniques. As the volume of data is very large for mining so we need fast algorithms usually run time for mining is O(n) or O(nlogn). O(n2-[n square]) is a kill.
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