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Today's data warehouse programs comply with update-driven method slightly than the standard approach mentioned earlier. This method is costly for queries that require aggregations. Now these queries are mapped and despatched to the native query processor. It is rather inefficient and really expensive for frequent queries. We will classify a data mining system based on the sort of strategies used. We will classify a knowledge mining system in accordance with the type of databases mined. We can classify a knowledge mining system in line with the type of knowledge mined. What is Knowledge Discovery? Some people treat knowledge mining similar as knowledge discovery, while others view data mining as a necessary step in the method of knowledge discovery. Some folks don’t differentiate data mining from information discovery whereas others view data mining as an essential step in the method of knowledge discovery. Knowledge Presentation − On this step, information is represented. Data Integration − In this step, multiple data sources are combined. Query processing does not require interface with the processing at local sources. Interact with the system by specifying a data mining question job. We are able to classify a data mining system based on the functions tailored

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