Data Warehousing & Data Mining

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Presentation transcript:

Data Warehousing & Data Mining

Data Warehousing & Data Mining (Part -1) Q1.Explain how Intelligently analyzed data is a valuable resource that can lead to new insights, and, in commercial settings, to competitive advantages. Q2.Explain by Classification rules, association rules and “predict” any of the attributes of data mining, not just a specified class and then predict more than one thing by suitable example.(The Weather Problem) Q3.What is Web Mining? How Search engines use Page Rank(among other things) to sort web pages into order before displaying the results of your search.

Q4.Write an essay on using data mining in the area of marketing and sales. Q5.Explain Organizational matters for efficient working of a stores division in an engineering firm. Q6.Explain how materials are handled under discrepancy, is to be properly marked and stored until it is dispatched to the supplier for replacement or is inspected by the surveyor of the Insurance Company.