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Data
Warehousing & Data Mining (Part -1)
1.
Explain how intelligently analyzed data is a
valuable resource that can lead to new insights, and, in commercial settings,
to competitive advantages.
2.
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)
3.
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.
4.
Write an essay on using data mining in
the area of marketing and sales.
5.
Explain Organizational matters for efficient
working of a stores division in an engineering firm.
6.
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.
Data
Warehousing & Data Mining (Part -2)
1.
What
are the main areas of criticism of Stores Division? Explain.
2.
Performance Indicators (PI) can be developed
for the various domains Explain.
3.
The ISO 9000 set of guidelines is for
customers/buyers and suppliers to select an
appropriate quality assurance model as
relevant to a particular contractual relationship. ISO 9004 provides the
set of guidelines to develop and implement the
quality management system. Explain.
4.
Explain the important factors of a Stores
Division as one of the most important divisions serving the
needs of all the departments and influencing the efficiency
and productivity of any industry.
5.
Explain simple data mining applications with
examples.
6. Explain the
technology of Machine learning as a burgeoning new technology or
mining
knowledge from data,
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