B.TechSemester 52023-24Introduction To Data Analytics And VisualizationKDS501

Introduction To Data Analytics And Visualization (KDS501) - AKTU Question Paper 2023-24

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Introduction To Data Analytics And Visualization Previous Year Question Paper for B.Tech Semester 5, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Introduction To Data Analytics And Visualization (KDS501) — complete question paper · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 * 1 0 = 2 0
  • a
    What are the features of Big Data? 1
  • b
    What is decision tree? 1
  • c
    Explain the need of Data Analytics. 2
  • d
    What do you mean by learning rate? 2
  • e
    What is real time analysis? 3
  • f
    Define data Model. 3
  • g
    Discuss Sentiment Analysis. 4
  • h
    List various methods of clustering. 4 (i) Differentiate between Pig and SQL. 5 (j) Write any two visualization tools. 5
Section BAttempt any three o f t h e f o l l o w i n g : 1 0 * 3 = 3 0
  • a
    Discuss Classification of D ata. Explain all the categories in detail with examples. 1
  • b
    Illustrate with example Reg ression and Bayesian modelling. 2
  • c
    Discuss RTAP applications in detail. 3
  • d
    Illustrate with example s CLIQUE and ProCLUS. 4
  • e
    Discuss various visualization techniques with suitable exam ples. 5
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 1 0 * 1 = 1 0
  • a
    Explain the phase of Data a nalytics life cycle in detail. 1
  • b
    Write short note on the following- i. Modern Data analytics tools ii. Application of data analytics
  • a
    Demonstrate any algorithm for counting oneness in a window. 2
  • b
    What are the various stochas tic search methods. Explain in detail with suitable example
  • a
    With the help of suitable example explain prediction error in classification and regression
  • b
    Discuss k-means clustering? Explain its working. Write k-me ans algorithm for partitioning
  • a
    Discuss as a case study – R eal time sentiment Analysis. 4
  • b
    Explain the following- i. Apriori Algorithm ii. Market based modeling
  • a
    Draw and discuss the archite cture of HDFS in detail. 5
  • b
    What are the approaches to in tegrate the human in data exploration process to realize different types of approaches to visual data mining?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

Repeated Questions — KDS501

Questions that appeared in more than one session, found by comparing 2 years of Introduction To Data Analytics And Visualization papers (2022-23, 2023-24)

2x

Explain the need of Data Analytics. 2

Appeared in: 2022-23 · 2023-24

2x

What is real time analysis? 3

Appeared in: 2022-23 · 2023-24

2x

Discuss Sentiment Analysis. 4

Appeared in: 2022-23 · 2023-24

2x

Explain the phase of Data a nalytics life cycle in detail. 1

Appeared in: 2022-23 · 2023-24

2x

Demonstrate any algorithm for counting oneness in a window. 2

Appeared in: 2022-23 · 2023-24

2x

Discuss k-means clustering? Explain its working. Write k-me ans algorithm for partitioning

Appeared in: 2022-23 · 2023-24

Introduction To Data Analytics And Visualization — Other Year Papers

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