NATIONAL OPEN UNIVERSITY OF NIGERIA
14/16 AHMADU BELLO WAY, VICTORIA ISLAND, LAGOS
SCHOOL OF SCIENCE AND TECHNOLOGY
MARCH/APRIL 2014 EXAMINATION
COURSE CODE: DAM 301
COURSE TITLE: DATA MINING AND DATA WAREHOUSING
TIME ALLOWED: 3HOURS
INSTRUCTION: ANSWER ANY FOUR QUESTIONS IN ALL
1a. List the common types of data preparation methods. [71/2 marks]
1b. Explain any 5 types of data/information often collected in digital form in databases and flat files. [10 marks]
2a. Explain what is meant by Data Mining Technologies. [71/2 marks]
2b Explain what is meant by the following data mining terms?
i. Characterization.
ii. Clustering.
iii. Discrimination. [10 marks]
3a. Briefly explain any 2 types of data that can be mined. [31/2 marks]
3b. List and define seven (7) steps involved in Knowledge Discovery Databases (KDD) process. [14 marks]
4a. Explain Data Description, and state its three (3) documented properties [8 marks]
4b. Data Mining Applications play vital roles in Banking and Finance industries. Discuss. [91/2 marks]
5a. Write short note on data warehouse. [71/2 marks]
5b. Write notes on any four (4) data mining issue. [10 marks]
6a. List and explain any three (3) characteristics of a data warehouse as set forth by William Inmon. [71/2 marks]
6b. What is a Neural Network in a data mining technology? [5 marks]
6c. Itemise the technologies or tools used in data mining. [5 marks]
For the 2015 – till date past questions for this course CLICK HERE
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