AKTU Introduction to Data Analytics and Visualization (KDS501) Question Paper 2023-24

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. What are the features of Big Data?
2. What is decision tree?
3. Explain the need of Data Analytics.
4. What do you mean by learning rate?
5. What is real time analysis?
6. Define data Model.
7. Discuss Sentiment Analysis.
8. List various methods of clustering.
9. Differentiate between Pig and SQL.
10. Write any two visualization tools.

Section B

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

1. Discuss Classification of Data. Explain all the categories in detail with examples.
2. Illustrate with example Regression and Bayesian modelling.
3. Discuss RTAP applications in detail.
4. Illustrate with examples CLIQUE and ProCLUS.
5. Discuss various visualization techniques with suitable examples.

Section C

Q3

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

1. Explain the phase of Data analytics life cycle in detail.
2. Write short note on the following- 1 i. Modern Data analytics tools ii. Application of data analytics

Q4

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

1. Demonstrate any algorithm for counting oneness in a window.
2. What are the various stochastic search methods. Explain in detail with suitable example.

Q5

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

1. With the help of suitable example explain prediction error in classification and regression.
2. Discuss k-means clustering? Explain its working. Write k-means algorithm for partitioning.

Q6

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

1. Discuss as a case study – Real time sentiment Analysis.
2. Explain the following- 4 i. Apriori Algorithm ii. Market based modeling

Q7

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

1. Draw and discuss the architecture of HDFS in detail.
2. What are the approaches to integrate the human in data exploration process to realize different types of approaches to visual data mining?

Short on time? See the most repeated AKTU Introduction to Data Analytics and Visualization questions across all years.

Other years

More AKTU Data Analytics papers on LearnAIFast.

This paper is reproduced for study purposes only. Copyright belongs to AKTU. Source: the question paper bank of ABES Institute of Technology, an AKTU-affiliated college. If you own the copyright and want it removed, email learnwithskillnest@gmail.com and we will take it down.