B.TechSemester 82024-25Data Warehousing Data MiningKOE093
View PDFDownload

Data Warehousing Data Mining (KOE093) - AKTU Question Paper 2024-25

B.Tech · Semester 8 · Free PDF Download

This is the official AKTU Data Warehousing Data Mining Previous Year Question Paper for B.Tech Semester 8, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 8
Session:2024-25
University:AKTU / UPTU

Rate this paper

Questions Asked in 2024-25

Data Warehousing Data Mining (KOE093) — extracted question text · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Explain Discretization
  • b
    Discuss issues to consider during data integration
  • c
    Explain the working of Artificial Neuron
  • d
    Explain support and confidence in Association rule mining 4 K 2
  • e
    Explain Pivot operation in OLAP
  • f
    Define Information Gain
  • g
    Define Data warehouse
  • h
    Explain Outlier Analysis. 3 K1 i. What does negative, positive and zero Value Correlation coeffi cient indicates? j. Explain Binning method for d ealing with noisy data
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Explain three-tier data warehousing architecture
  • b
    Compare OLTP and OLAP Systems
  • c
    Discuss Snowflakes, and Fact Constellations Schemas for Multidimensional Data Models
  • d
    Explain the following i. Enterprise Warehouse ii. Data Mart
  • e
    Explain the Non linear separability using EX-OR functionalit y in Neural Network
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Explain Laplacian correction to avoid computing probability values of zero in Naïve Bayesian Classifier with example
  • b
    Explain Top- down and Bottom- up approach for Hierarchical Clustering
  • a
    Explain K-mean Clustering Algor ithm with it’s Limitations
  • b
    Explain DBSCAN Clustering algorithm
  • a
    Explain The following iii. Spatial Mining iv. Temporal Mining
  • b
    Explain the following i. Regression ii. Normalization
  • a
    Explain the Following i. various measures to calculate the central tendency of Data ii. Standard deviation and Variance
  • b
    Explain Decision tree with a suitable example
  • a
    Explain web content mining and web structure mining
  • b
    Differentiate ROLAP, MOLAP an d HOLAP Server Architectures

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.

Data Warehousing Data Mining — Other Year Papers

AKTU Data Warehousing Data Mining PYQs from other sessions

Data Warehousing Data Mining2021-22Data Warehousing Data Mining2022-23Data Warehousing Data Mining2023-24Data Warehousing Data Mining2021-22Data Warehousing Data Mining2022-23Data Warehousing Data Mining2023-24

More B.Tech Semester 8 (2024-25) Papers

Other subjects from same semester and session

Modeling And Simulation Of Dynamics Systems2024-25Bio Medical Signal Processing2024-25Introduction To Smart Grid2024-25Fundamentals Of Drone Technology2024-25Computerized Process Control2024-25Modeling Of Field Effect Nano Devices2024-25Electric Vehicles2024-25Rural Development Administration And Planning2024-25
View all B.Tech Semester 8 2024-25 papers →

Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

AKTU 4th Year PYQs — All Branches