AKTU Data Analytics (KIT601) Question Paper 2021-22

Note: Attempt all Sections. If you require any missing data, then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Discuss the need of data analytics.
2. Give the classification of data.
3. Define neural network.
4. What is multivariate analysis?
5. Give the full form of RTAP and discuss its application.
6. What is the role of sampling data in a stream? 3
7. Discuss the use of limited pass algorithm.
8. What is the principle behind hierarchical clustering technique?
9. List five R functions used in descriptive statistics.
10. List the names of any 2 visualization tools.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain the process model and computation model for Big data platform.
2. Explain the use and advantages of decision trees.
3. Explain the architecture of data stream model.
4. Illustrate the K-means algorithm in detail with its advantages.
5. Differentiate between NoSQL and RDBMS databases.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the various phases of data analytics life cycle.
2. Explain modern data analytics tools in detail.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Compare various types of support vector and kernel methods of data analysis.
2. Given data= {2,3,4,5,6,7;1,5,3,6,7,8}. Compute the principal component using PCA algorithm.

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain any one algorithm to count number of distinct elements in a data stream.
2. Discuss the case study of stock market predictions in detail.

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Differentiate between CLIQUE and ProCLUS clustering.
2. A database has 5 transactions. Let min_sup=60% and min_conf=80%.
   TID Items_Bought
T100 {M, O, N, K, E, Y}
T200 {D, O, N, K, E, Y}
T300 {M, A, K, E}
T400 {M, U, C, K, Y}
T500 {C, O, O, K, I, E}
   i) Find all frequent itemsets using Apriori algorithm. ii) List all the strong association rules (with support s and confidence c ).

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the HIVE architecture with its features in detail.
2. Write R function to check whether the given number is prime or not.

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