Uttar Pradesh Technical University (UPTU) 2009-7th Sem B.Tech Information Technology -ester- Data mining and warehousing - Question Paper
B.Tech
(VII semester) odd semester theory exam
Data Mining and Warehousing
B. Tech TCS- 031
(Sem-VII) Theory Exam 2009-10 Data Mining & Data Warehousing.
3 Hrs. Marks : 100
Attempt all Questions
1. Attempt 4 parts
a. Explain data mining process with neat digm.
b. What do you mean by data clearing ?
c. Explain clustering and regression with example.
d. What is Z-score normalization.
e. Distinguish between dimensionality reduction and numerasity reduction.
f. Explain histogram. The following data are a list of prices of commonly sold items at a company. The number have been sorted 1,1,5,5,5,8,8, 10,10,15,15, 15,20,20,20,20,20. than a histogram for price using singleton buckets.
(a) What do you understand by the terms data characterization in content to concept description ?
(b) With the help of suitable example, explain data discrimination in brief.
(c) List out the reasons, why we perform athibute relevance analysis ?
(d) What are the main purposes of statistics, used in data mining ?
(e) What do you understand by outliers ?
(f) What do you mean by association rules, for what purposes it is being used ? Explain with example.
Answer any two parts : 10x2=20
(a) What are the different classification techniques ? Discuss issuess regarding classification and prediction.
(b) What do you mean by neural network ? Explain multilayer Feed-Forward neural network. Differentiate between Feed-Forward and Feedback system.
(c) . What do you mean by decision tree ? Describe ID3 algorithm of the decision tree. Why it is
unsuitable for data mining applications ?
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4 Attempt any two parts : 10*2-2(
(a) Define the data warehousing with suitable example, why we need a separate data warehouse ? Differentiate between OLAP and OLTP
(b) What is a multidimensional data model ? How we convert tables and spreadsheets to Data cubes ? Convert 2-D tables into 3-D data
cubes.
(c) (i) Explain Snow - Flake schema with an
example.
(ii) Explain fact constellation with an example.
5 Attempt any two parts : 10x2-20
(a) Explain OLAP functions and tools in brief What are the main features of OLAP servers ?
(b) What do you mean by aggregation ? Explain in brief, how the OLAP handles aggregation ?
Write the differences between MOLAP and HOLAP
(c) Write short notes on :
(i) Slice and Dice operations
(ii) Testing of data warehouses.
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t 7000 !
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