NATIONAL OPEN UNIVERSITY OF NIGERIA

UNIVERSITY VILLAGE, PLOT 91, CASDASTRAL ZONE, NNAMDI AZIKIWE EXPRESS WAY, JABI, ABUJA.
FACULTY OF SCIENCES
JANUARY/FEBRUARY 2013 EXAMINATION

COURSE CODE: DAM 301

COURSE TITLE: DATA MINING AND DATA WAREHOUSING

CREDIT UNIT: 3 CREDIT UNITS

TIME: 3 HOURS

INSTRUCTION: ANSWER ANY FOUR QUESTIONS IN ALL

1a. Explain Data Description, and state its three (3) documented properties [8 marks]

1b. List and define seven (7) steps involved in Knowledge Discovery Databases (KDD) process. [91/2 marks]

2a. Briefly explain any 2 types of data that can be mined. [8 marks]

2b. Data Mining Applications play some vital roles in Banking and Finance industries. Discuss. [91/2 marks]

3a. Explain any 5 types of data/information often collected in digital form in databases and flat files. [10 marks]

3b. Write short note on data warehouse. [71/2 marks]

4a Explain what is meant by the following data mining terms?

i. Characterization.

ii. Clustering.

iii. Discrimination. [10 marks]

4b. List and explain any three (3) characteristics of a data warehouse as set forth by William Inmon. [71/2 marks]

5a. Briefly explain the scope of data mining under the following headings:

i. Automated prediction of trends and behaviours. [6 marks]

ii. Automated discovery of previously unknown patterns. [4 marks]

5b. Explain what is meant by Data Mining Technologies. [71/2 marks]

6a. Describe Data mining [5 marks]

6b. List and write short note on any three (3) classifications of data mining systems. [6 marks]