B.TechSemester 82022-23Data Warehousing Data MiningKOE-093

Data Warehousing Data Mining (KOE-093) - AKTU Question Paper 2022-23

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 2022-23. 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:2022-23

University:AKTU / UPTU

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Questions Asked in 2022-23

Data Warehousing Data Mining (KOE-093) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20

a
Explain Data Warehousing?
b
Discuss the Fact Constellation ?
c
Explain Distributed DBMS implementation
d
Define Warehousing Software
e
Discuss the Numerosity Reduction?
f
Define decision Tree
g
Describe data Generalization
h
Explain Hierarchical Clustering. (i) Explain Web Mining? (j) Discuss the OLAP

Section BAttempt any three of the following: 10x3=30

a
Write down the difference between Database System and Data Cubes
b
Explain Warehouse Schema Design
c
Explain Data Mining and its functionalities?
d
Discuss STING is different from CLIQUE
e
Explain warehousing application and recent trends?

Section CAttempt any one part of the following: 10x1=10

a
Explain Multi-Dimensional Data Model?
b
Explain Snow Flakes in detail
a
Explain Market Basket Analysis
b
Describe briefly the measure of central tendency
a
Briefly describe K-Nearest-Neighbor Classifiers
b
Discuss various issues regarding classification & prediction
a
Discuss CURE and Chameleon in detail?
b
Explain Neural Network approach with example
a
Discuss the essential differences between the MOLAP &ROPLAP?
b
Name any five challenges in Data Warehouse Testing

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.

Repeated Questions — KOE-093

Questions that appeared in more than one session, found by comparing 4 years of Data Warehousing Data Mining papers (2021-22, 2022-23, 2023-24, 2024-25)

Explain Data Warehousing?

Appeared in: 2022-23 · 2023-24 · 2024-25

Discuss the Fact Constellation ?

Appeared in: 2022-23 · 2023-24

Explain Distributed DBMS implementation

Appeared in: 2022-23 · 2023-24

Define Warehousing Software

Appeared in: 2022-23 · 2023-24

Explain Market Basket Analysis

Appeared in: 2022-23 · 2023-24