2010 Jawaharlal Nehru Technological University, Hyderabad JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD M.C.A IV Semester Regular Examinations July 2010 DATA WAREHOUSING AND MINING Question paper
Code No: 43
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
M.C.A IV Semester Regular Examinations July 2010
DATA WAREHOUSING AND MINING
Time: 3hours Max.Marks:60
Answer any five questions
All questions carry equal marks
- - -
1. Describe the data warehouse architecture. Explain the issues in implementing data
warehouses.
2.a) Define data cleaning? Elaborate the new and significance of data cleaning and
data transformation.
b) How is a conceptual hierarchy useful in data modeling?
3. Describe the data mining primitives. Explain the distinct features of mining query
languages.
4.a) Write a short notes on mining class comparisons.
b) Write about the mining descriptive statistical measures in large data bases?
5.a) Explain mining multilevel association rules from transaction databases.
b) Write short note on constraint-based association mining.
6.a) Distinguish classification and prediction.
b) Write about classification by Back propagation?
7. Write about:
a) Density based methods
b) Model-based clustering methods.
8.a) Explain a method of mining spatial data.
b) Write about mining multimedia data bases.
KEYWORDS:DATA WAREHOUSING AND MINING,DATA WAREHOUSING AND MINING QUESTION PAPER,JNTU,JNTU QUESTION PAPER,JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD M.C.A IV SEMESTER SUPPLEMENTARY EXAMINATIONS JULY DATA WAREHOUSING AND MINING
Code No: 43
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
M.C.A IV Semester Regular Examinations July 2010
DATA WAREHOUSING AND MINING
Time: 3hours Max.Marks:60
Answer any five questions
All questions carry equal marks
- - -
1. Describe the data warehouse architecture. Explain the issues in implementing data
warehouses.
2.a) Define data cleaning? Elaborate the new and significance of data cleaning and
data transformation.
b) How is a conceptual hierarchy useful in data modeling?
3. Describe the data mining primitives. Explain the distinct features of mining query
languages.
4.a) Write a short notes on mining class comparisons.
b) Write about the mining descriptive statistical measures in large data bases?
5.a) Explain mining multilevel association rules from transaction databases.
b) Write short note on constraint-based association mining.
6.a) Distinguish classification and prediction.
b) Write about classification by Back propagation?
7. Write about:
a) Density based methods
b) Model-based clustering methods.
8.a) Explain a method of mining spatial data.
b) Write about mining multimedia data bases.
KEYWORDS:DATA WAREHOUSING AND MINING,DATA WAREHOUSING AND MINING QUESTION PAPER,JNTU,JNTU QUESTION PAPER,JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD M.C.A IV SEMESTER SUPPLEMENTARY EXAMINATIONS JULY DATA WAREHOUSING AND MINING