Download PTU B.Sc IT (BCA) 2019 May 5th Semester 74378 DATA WAREHOUSING AND MINING Question Paper

Download PTU (Punjab Technical University) BSc IT (BCA) 5th Semester 74378 DATA WAREHOUSING AND MINING Last 10 Years 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011 and 2010 Previous Question Papers.

1 | M-74378 (S3)-1835

Roll No. Total No. of Pages : 02
Total No. of Questions : 07
B.Sc.(IT) (2015 & Onwards) (Sem.?5)
DATA WAREHOUSING AND MINING
Subject Code : BSIT-504
M.Code : 74378
Time : 3 Hrs. Max. Marks : 60
INSTRUCTIONS TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains SIX questions carrying TEN marks each and students have
to attempt any FOUR questions.

SECTION-A
Q1. Answer briefly :
a. Define Data Archaeology.
b. What is Data Warehouse?
c. What is meant by Data Transformation?
d. What is Fact Constellation?
e. Discuss briefly slice and dice operations.
f. What is an output of Apriori Algorithm?
g. Compare association mining and correlation analysis.
h. How are decision trees helpful in classification?
i. What is cross validation?
j. Define any clustering algorithm.
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1 | M-74378 (S3)-1835

Roll No. Total No. of Pages : 02
Total No. of Questions : 07
B.Sc.(IT) (2015 & Onwards) (Sem.?5)
DATA WAREHOUSING AND MINING
Subject Code : BSIT-504
M.Code : 74378
Time : 3 Hrs. Max. Marks : 60
INSTRUCTIONS TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains SIX questions carrying TEN marks each and students have
to attempt any FOUR questions.

SECTION-A
Q1. Answer briefly :
a. Define Data Archaeology.
b. What is Data Warehouse?
c. What is meant by Data Transformation?
d. What is Fact Constellation?
e. Discuss briefly slice and dice operations.
f. What is an output of Apriori Algorithm?
g. Compare association mining and correlation analysis.
h. How are decision trees helpful in classification?
i. What is cross validation?
j. Define any clustering algorithm.
2 | M-74378 (S3)-1835

SECTION-B
Q2. a. Explain various characteristics of Data Warehouse.
b. What are various OLAP operations available for development and maintenance of data
warehouse? Explain.
Q3. a. Describe the concept of Data Summarization by taking suitable example.
b. What is meant by Data-Driven-Exploration of Data Cubes? Explain.
Q4. Explain the following :
a. Association rule mining.
b. Apriori Algorithm.
Q5. What are different schemas available for Multidimensional Data? Explain.
Q6. a. Discuss the role of Attribute Selection in Data Classification.
b. Explain the working of Bootstrap technique.
Q7. a. Differentiate between Bagging and Boosting.
b. What is Data Visualization? Explain different methods used for Data Visualization.






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page of Answer Sheet will lead to UMC against the Student.
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