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AKTU · B.Tech · 7th semester

AKTU Data Warehousing and Data Mining (KAI075) Question Paper 2023-24

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseB.Tech, Semester VII
SubjectData Warehousing and Data Mining (KAI075)
ExamTheory Examination 2023-24 (odd semester)
Time · Marks3 hours · 100 marks
SourceAKTU question paper, from the ABESIT question paper bank
View original PDF Other years

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

Section A

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

  1. Draw the diagram for key steps of data mining.
  2. Define the term Support and Confidence.
  3. Explain Data Warehouse Process.
  4. Illustrate the Warehousing Strategy.
  5. Write the statement for Apriori Algorithm.
  6. List out the drawbacks of k‐mean algorithm?
  7. Explain about the Classification.
  8. Discuss the Clustering.
  9. Explain the needs on Data Mining.
  10. Write a short note on Binning.

Section B

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

  1. Explain the Knowledge extraction process in details.
  2. Illustrate the OLAP function, OLAP tools and servers.
  3. Classify the different database schemas. Shows with an example.
  4. Discuss about the Statistical measures in large Databases in Classification.
  5. Explain the concept of building a Data Warehouse.

Section C

Q3

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

  1. Enumerate the steps involved in mapping the data warehouse to a multiprocessor 10 architecture.
  2. Describe data cubes with suitable example.

Q4

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

  1. Describe concept hierarchy with example.
  2. Explain warehouse management and support process.

Q5

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

  1. Describe the difference between the following approaches for the integration 10 of datamining system with database or data warehouse system: no coupling, loose coupling and semi tight coupling.
  2. Data consolidation is data modeling activity. This statement is true or not? Justify.

Q6

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

  1. Explain various measures of central tendency.
  2. Write a short note on a) Quartiles b) Histograms 10

Q7

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

  1. Compare and contrast between Distance-Bsed Algorithms and Decision Tree- 10 Based Algorithms.
  2. Describe web mining with differentiate between web content mining, web 10 structure mining and web suing mining.

Short on time? See the most repeated AKTU Data Warehousing and Data Mining questions across all years.

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