Data Warehousing & Data Mining (Part -1)

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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:

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