DAV Unit 3 Notes AKTU (BCDS501)

AKTU · BTECH · Semester 5 · Introduction to Data Analytics and Visualization · Unit 3 · Notes

AKTU Introduction to Data Analytics and Visualization (BCDS501) Unit 3 notes for B.Tech Semester 5 – Mining Data Streams. Topics: Stream Basics, Sampling…

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Unit 3: Mining Data Streams – AKTU syllabus topics

  • Stream Basics: Stream Concepts, Data Model And Architecture, Stream Computing
  • Sampling And Filtering: Sampling Data In Stream, Filtering Streams
  • Counting In Streams: Counting Distinct Elements, Estimating Moments, Counting Oneness
  • Window Models: Decaying Window
  • Real Time Analytics: RTAP Applications, Sentiment Analysis Case Study, Stock Market Prediction

Most asked AKTU PYQ questions from Unit 3

  1. Q1e. What is sentiment analysis? (2 marks, 2022-23)
  2. Q6a. Discuss as a case study – Real time sentiment Analysis. (7 marks, 2023-24)
  3. Q1e. Define data streams with one real-time example. (2 marks, 2025-26)
  4. Q1e. Analyze the challenges of real-time sentiment analysis. (2 marks, 2024-25)
  5. Q1e. What is real time analysis? (2 marks, 2023-24)
  6. Q1g. Discuss Sentiment Analysis. (2 marks, 2023-24)
  7. Q5b. Explain any one algorithm for counting oneness in a window. (10 marks, 2022-23)
  8. Q5a. Describe briefly the architecture of Data Stream Management System (DSMS). (10 marks, 2022-23)
  9. Q2c. Describe stream data model and architecture with neat diagram. (7 marks, 2025-26)
  10. Q2c. Describe the concept of decaying windows in stream analytics. How does it help in managing memory and computational resources? (7 marks, 2024-25)

AKTU paper codes: BCDS501, KDS501

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