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AKTU · B.Tech · 8th semester

AKTU Data Warehousing & Data Mining (KOE093) Question Paper 2021-22

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseB.Tech, Semester VIII
SubjectData Warehousing & Data Mining (KOE093)
ExamTheory Examination 2021-22 (even 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 you require any missing data, then choose suitably.

Section A

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

  1. What do you mean by Data Warehousing?
  2. Briefly discuss about theData Warehousing Components.
  3. What do you mean by Data Warehouse Process?
  4. What do you understand by Warehousing Strategy?
  5. Discuss the concept of Data Cleaning.
  6. What are the needs of Data Mining?
  7. Discuss about the Classification.
  8. Discuss about the Clustering.
  9. Write a short note on Data Visualization.
  10. Write a short note on Aggregation.

Section B

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

  1. Explain about the OLAP function, OLAP Tools and OLAP Servers.
  2. Describe in detail about the Hardware and Operating Systems for Data Warehousing.
  3. Describe in detail about any two of the following. (i) Binning (ii) Clustering (iii) Regression
  4. Discuss about the Statistical measures in large Databases in Classification.
  5. Discuss in detail about the Building a Data Warehouse.

Section C

Q3

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

  1. Define Tuning and Testing of Data Warehouse under the Data Visualization.
  2. Describe about the Parallel Processors and Cluster Systems under the Data Warehouse Process Technology.

Q4

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

  1. Discuss about the concept of Mapping the Data Warehouse to a Multiprocessor Architecture.
  2. What do you understand by Data Cube Aggregation and Dimensionality reduction in Data Mining?

Q5

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

  1. Compare and contrast between Distance-Based Algorithms and Decision Tree-Based Algorithms.
  2. Discuss about the Web Mining, Spatial Mining and Temporal Mining under the Data Visualization.

Q6

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

  1. Discuss about the Warehousing Software and Warehouse Schema Design in Data Warehouse Process Technology.
  2. Describe about the Difference between Database System and Data Warehouse. What do you mean by Multi-Dimensional Data Model?

Q7

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

  1. Describe in detail about any two of the following. (i)Numerosity Reduction (ii) Concept hierarchy generation (iii) Decision Tree
  2. What do you understand by Hierarchical and Partitioned Algorithms under the Clustering in Data Mining and Warehousing?

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