AKTU Introduction to Data Analytics and Visualization (KDS501) Question Paper 2022-23
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester V |
| Subject | Introduction to Data Analytics and Visualization (KDS501) |
| Exam | Theory Examination 2022-23 (odd semester) |
| Time · Marks | 3 hours · 100 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
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
- List the features of big data analytics platform.
- Why there is need of data analytics?
- What are the components of time series?
- List various types of regression analysis techniques.
- What is sentiment analysis?
- What are problem in Flajolet-Martin (FM) algorithm?
- What is Market Basket Analysis?
- Explain hierarchical method of clustering.
- Define sharding and database shard.
- List any two visualization tools.
Section B
Q2. Attempt any three of the following · 10 × 3 = 30 marks
- Differentiate between structured, semi-structured and unstructured data.
- Describe grid-based fuzzy model.
- Explain Alon-Matias-Szegedy Algorithm for second moments on the given stream {a, b, c, b, d, a, c, d, a, b, d, c, a, a, b}.
- Explain market basket analysis with an example.
- Discuss various classification of visualization techniques.
Section C
Q3
Attempt any one part of the following · 10 × 1 = 10 marks
- Discuss all the moderntools of data analytic.
- Describe all the phases of data analytics life cycle.
Q4
Attempt any one part of the following · 10 × 1 = 10 marks
- Describe PCA algorithm. Compute the principal component using PCA algorithm on given data as:
CLASS 1: X = 2 , 3 , 4Y = 1 , 5 , 3
CLASS 2:X = 5 , 6 , 7Y = 6 , 7 , 8 - Illustrate Bayesian network with an example.
Q5
Attempt any one part of the following · 10 × 1 = 10 marks
- Describe briefly the architecture of Data Stream Management System (DSMS).
- Explain any one algorithm for counting oneness in a window.
Q6
Attempt any one part of the following · 10 × 1 = 10 marks
- For the given data, find the association rule using apriori algorithm.
- What do you mean by k-means clustering? How does the k-means algorithm work? Write k-meansalgorithm for partitioning.
Q7
Attempt any one part of the following · 10 × 1 = 10 marks
- Define HDFS. Discuss the HDFS architecture and HDFS commands in brief.
- Differentiate between Map Reduce and Apache Pig.
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