MCASemester 32025-26Data Wirehousing And Date MiningBMC012
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Data Wirehousing And Date Mining (BMC012) - AKTU Question Paper 2025-26

MCA · Semester 3 · Free PDF Download

This is the official AKTU Data Wirehousing And Date Mining Previous Year Question Paper for MCA Semester 3, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA
Semester:Semester 3
Session:2025-26
University:AKTU / UPTU

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Questions Asked in 2025-26

Data Wirehousing And Date Mining (BMC012) — extracted question text · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    State the primary objective of Data Warehousing
  • b
    List any two components of a Data Warehouse architecture
  • c
    State the role of ETL in Data Warehouse processes
  • d
    Explain Data Cleaning
  • e
    Define Decision Tree
  • f
    Distinguish between Classification and Clustering
  • g
    Explain Data Visualization
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Discuss the process of building a Data Warehouse and explain the role of warehouse databases in decision support systems
  • b
    Explore the fact constellations and snowflake schema in data warehousing
  • c
    Explain data cleaning techniques for handling missing and noisy data
  • d
    Explain in detail density-based clustering methods
  • e
    Explain warehousing applications and recent trends
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    Describe the multidimensional data model and illustrate Star and Snowflake schemas with examples
  • b
    Analyze the benefits and challenges of implementing a multidimensional data model in a data warehouse
  • a
    Explain the data warehouse planning and implementation process, highlighting major management and support activities
  • b
    Describe the importance of hardware and operating systems in data warehousing environments
  • a
    Discuss the stages of data preprocessing and explain the role of data reduction techniques in data mining
  • b
    Demonstrate the architecture of a data mining system
  • a
    Explain classification techniques and compare statistical-based and distance- based algorithms
  • b
    Explain Decision Tree construction and its application in knowledge discovery
  • a
    Explain Web Mining, Spatial Mining and Temporal Mining
  • b
    Explain OLAP functions, OLAP tools, and OLAP servers

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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