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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,
WE PROVIDE CASE STUDY ANSWERS, ASSIGNMENT SOLUTIONS, PROJECT REPORTS AND THESIS
ARAVIND - 09901366442 – 09902787224
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