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

Firstranker's choice

FirstRanker.com

Roll No.

--- Content provided by FirstRanker.com ---

Total No. of Pages : 02

Total No. of Questions : 07

B.Sc.(IT) (2015 & Onwards)

(Sem.-5)

DATA WAREHOUSING AND MINING

--- Content provided by FirstRanker.com ---

Subject Code : BSIT-504

M.Code: 74378

Time: 3 Hrs.

Max. Marks : 60

INSTRUCTIONS TO CANDIDATES :

--- Content provided by FirstRanker.com ---

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 :

1. Define Data Archaeology.

--- Content provided by FirstRanker.com ---

2. What is Data Warehouse?
3. What is meant by Data Transformation
4. What is Fact Constellation?
5. Discuss briefly slice and dice operations.
6. What is an output of Apriori Algorithm?

--- Content provided by FirstRanker.com ---

7. Compare association mining and correlation analysis.
8. How are decision trees helpful in classification?
9. What is cross validation?
10. Define any clustering algorithm.

SECTION-B

--- Content provided by FirstRanker.com ---

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 :

--- Content provided by FirstRanker.com ---

1. Association rule mining.
2. 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.

--- Content provided by FirstRanker.com ---

Q7. a. Differentiate between Bagging and Boosting

b. What is Data Visualization? Explain different methods used for Data Visualization.

NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.