Exam Details
Subject | data mining and warehousing | |
Paper | ||
Exam / Course | m.c.a./ m.c.a.(lateral) | |
Department | ||
Organization | Alagappa University Distance Education | |
Position | ||
Exam Date | May, 2017 | |
City, State | tamil nadu, karaikudi |
Question Paper
DISTANCE EDUCATION
M.C.A./M.C.A. DEGREE EXAMINATION, MAY 2017.
Fifth Semester
DATA MINING AND WAREHOUSING
(2010 academic year onwards)
Time Three hours Maximum 100 marks
SECTION A — × 8 40 marks)
Answer any FIVE of the following questions.
1. Write a short note on Self Learning Computer System
2. Write a short note on Knowledge Discovery Process and
Data Selection.
3. Briefly describe about Genetic Algorithms in Data Mining
Process.
4. What are the steps involved for the Identification of Facts
and Dimensions.
5. Explain about the Vertical Partitioning.
6. Write a short note on Disaster Recovery.
7. What is the Process involved during Capacity Planning.
8. Write a short note on testing the database.
Sub. Code
504
DE-700
2
ws 15
SECTION B — × 15 60 marks)
Answer any FOUR of the following questions.
9. Explain in detail about Data Mining System Architecture
and its issues and Challenges.
10. Write a short note on
Data Selection
Cleaning
Enrichment.
11. Explain in detail about the Typical Process Flow within a
Data Warehouse.
12. Explain in detail about how overnight process helps to
operate the Data Warehouse.
13. Describe in detail about Service Level Agreement (SLA).
14. Explain detail about the following
Data Mining Vs Query Tools.
Data Mining needs from Data Warehouse.
15. Explain
Testing the operational environment
Testing the Application
Logistics of the Test.
M.C.A./M.C.A. DEGREE EXAMINATION, MAY 2017.
Fifth Semester
DATA MINING AND WAREHOUSING
(2010 academic year onwards)
Time Three hours Maximum 100 marks
SECTION A — × 8 40 marks)
Answer any FIVE of the following questions.
1. Write a short note on Self Learning Computer System
2. Write a short note on Knowledge Discovery Process and
Data Selection.
3. Briefly describe about Genetic Algorithms in Data Mining
Process.
4. What are the steps involved for the Identification of Facts
and Dimensions.
5. Explain about the Vertical Partitioning.
6. Write a short note on Disaster Recovery.
7. What is the Process involved during Capacity Planning.
8. Write a short note on testing the database.
Sub. Code
504
DE-700
2
ws 15
SECTION B — × 15 60 marks)
Answer any FOUR of the following questions.
9. Explain in detail about Data Mining System Architecture
and its issues and Challenges.
10. Write a short note on
Data Selection
Cleaning
Enrichment.
11. Explain in detail about the Typical Process Flow within a
Data Warehouse.
12. Explain in detail about how overnight process helps to
operate the Data Warehouse.
13. Describe in detail about Service Level Agreement (SLA).
14. Explain detail about the following
Data Mining Vs Query Tools.
Data Mining needs from Data Warehouse.
15. Explain
Testing the operational environment
Testing the Application
Logistics of the Test.
Other Question Papers
Subjects
- .net frame works
- .net lab
- accounting and financial management
- agent based intelligent system
- c-sharp (c#)
- communication skills
- compiler design
- computer applications
- computer networks
- data mining and warehousing
- data warehousing and mining
- distributed computing
- image processing and analysis
- internet programming
- lab : vi — algorithm and shell programming
- lab v — rdbms
- lab vii –– internet programming
- lab viii — network lab
- lab x — compiler design
- lab–ix : visual c++
- middleware technology
- mobile communications
- multimedia systems
- multimedia tools lab
- network lab
- neural networks
- object oriented analysis and design
- open source architecture
- open source programming lab
- operating systems
- rdbms
- resource management techniques
- software engineering
- software project management
- unix and shell programming
- visual programming
- visual programming lab
- web technology
- web technology lab