Data Warehousing and Data Mining Exam, Schemes and Mind Maps of Natural Language Processing (NLP)

An examination paper for a course on data warehousing and data mining. The paper is divided into three sections, with section a containing 10 brief questions, section b containing 3 longer questions, and sections c-g each containing 1 longer question. The topics covered include data warehousing concepts, data mining techniques, olap, clustering algorithms, and other related topics. The document could be useful for university students studying data warehousing and data mining, as it provides a comprehensive overview of the key concepts and techniques in these fields. The document could be used as study notes, lecture notes, or for exam preparation, depending on the specific needs of the student.

Typology: Schemes and Mind Maps

2022/2023

Uploaded on 03/03/2024

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QP23EP1_290
| 07-06-2023 08:55:20 | 117.55.242.132
QP23EP1_290 | 07-06-2023 08:55:20 | 117.55.242.132
.Printed Pages:01 Sub Code:KOE093
Paper Id:
236032
Roll No.
B.TECH
(SEM VIII) THEORY EXAMINATION 2022-23
DATA WAREHOUSING & DATA MINING
Time: 3 Hours Total Marks: 100
Note: Attempt all Sections. If require any missing data; then choose suitably.
SECTION A
1. Attempt all questions in brief. 2 x 10 = 20
(a)
Explain Data Warehousing?
(
b
)
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 B
2. Attempt 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 C
3. Attempt any one part of the following: 10x1=10
(a)
Explain Multi-Dimensional Data Model?
(
b
)
Explain Snow Flakes in detail.
4. Attempt any one part of the following: 10x1=10
(a)
Explain Market Basket Analysis.
(b)
Describe briefly the measure of central tendency.
5. Attempt any one part of the following: 10x1=10
(a)
Briefly describe K-Nearest-Neighbor Classifiers.
(b)
Discuss various issues regarding classification & prediction.
6. Attempt any one part of the following: 10x1=10
(
a
)
Discuss
CURE and Chameleon in detail?
(
b
)
Explain Neural Network approach with example.
7. Attempt any one part of the following: 10x1=10
(a)
Discuss the essential differences between the MOLAP &ROPLAP?
(
b
)
Name any five challenges in Data Warehouse Testing
.

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QP23EP1_

QP23EP1_290 | 07-06-2023 08:55:20 | 117.55.242.

.Printed Pages:01 Sub Code:KOE Paper Id: 236032 Roll No.

B.TECH

(SEM VIII) THEORY EXAMINATION 2022-

DATA WAREHOUSING & DATA MINING

Time: 3 Hours Total Marks: 100

Note: Attempt all Sections. If require any missing data; then choose suitably.

SECTION A

1. Attempt 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 B

2. Attempt any three of the following: 10x3=

(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 C

3. Attempt any one part of the following: 10x1=

(a) Explain Multi-Dimensional Data Model? (b) Explain Snow Flakes in detail.

4. Attempt any one part of the following: 10x1=

(a) Explain Market Basket Analysis. (b) Describe briefly the measure of central tendency.

5. Attempt any one part of the following: 10x1=

(a) Briefly describe K-Nearest-Neighbor Classifiers. (b) Discuss various issues regarding classification & prediction.

6. Attempt any one part of the following: 10x1=

(a) Discuss CURE and Chameleon in detail? (b) Explain Neural Network approach with example.

7. Attempt any one part of the following: 10x1=

(a) Discuss the essential differences between the MOLAP &ROPLAP? (b) Name any five challenges in Data Warehouse Testing.