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) — complete question paper · 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. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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