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National
Institute of Business Management
Chennai -
020
EMBA/ MBA
Data
Warehousing & Data Mining (Part -1)
Attend any 4
questions. Each question carries 25 marks
(Each answer
should be of minimum 2 pages / of 300 words)
Q. 1. Explain
how Intelligentlyanalyzed data is a valuable resource that can lead to new
insights, and, in commercial settings, to competitive advantages.
Answer:Intelligent Data Analysis
provides a forum for the examination of issues related to the research and
applications of Artificial Intelligence techniques in data analysis across a
variety of disciplines. These techniques include (but are not limited to): all
areas of data visualization, data pre-processing (fusion, editing,
transformation, filtering, sampling), data engineering, database mining
techniques, tools and applications, use of domain knowledge in data analysis,
big data applications, evolutionary algorithms, machine learning, neural nets,
fuzzy logic, statistical pattern recognition, knowledge filtering, and
post-processing. In
Q. 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)
Answer:
Q. 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.
Answer: Web mining is the use of data
mining techniques to automatically discover and extract information from Web
documents and services.
There
are three general classes of information that can be discovered by web mining:
·
Web activity, from server logs and Web browser
activity tracking.
·
Web graph, from links between pages
Q. 4. Write
an essay on using data mining in the area of marketing and sales.
Answer: Data mining is a powerful new
technology with great potential to help companies focus on the most important
information in the data they have collected about the behavior of their
customers and potential customers. It discovers information within the data
that queries and reports can't effectively reveal. This paper explores many
aspects of data mining in the following areas:
·
Data Rich, Information Poor
·
Data Warehouses
·
What is Data Mining?
·
What Can Data Mining Do?
·
The Evolution of Data
Q. 5. Explain
Organizational matters for efficient working of a stores division in an
engineering firm.
Answer:An organizational structure
defines how activities such as task allocation, coordination and supervision
are directed towards the achievement of organizational aims. It can also be
considered as the viewing glass or perspective through which individuals see
their organization and its environment.
Organizations are a variant of clustered
entities.
Q. 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.
Answer:
Dear
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