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Data Mining And Datawarehousing Question Paper

Data Mining And Datawarehousing

Course:Bachelor Of Science In Information Technology

Institution: Masinde Muliro University Of Science And Technology question papers

Exam Year:2011

EXAMINATION FOR THE DEGREE OF BACHELOR
OF SCIENCE IN INFORMATION TECHNOLOGY
BIT 4204: DATA MINING AND DATAWAREHOUSING
DATE: APRIL 2011 TIME: 2 HOURS
INSTRUCTIONS: Answer question ONE and any other TWO questions
QUESTION ONE
a) Define the following terms
i. Association rule mining (2 Marks)
ii. Data warehouse (2 marks)
b) Distinguish between support vector machines and neural network (4 Marks)
c) Describe the concept of self organization maps (6 Marks)
d) Outline the steps for performing a similarity search (6 Marks)
e) Outline the typical OLAP operations in a data warehouse (4 Marks)
f) Explain how clustering can be used in the following areas
i. Marketing (2 Marks)
ii. Land use (2 Marks)
iii. Insurance (2 Marks)
QUESTION TWO
a) In your own opinion explain why you need to preprocess the data for data mining (8 Marks)
b) Outline the challenges of sequential patterns in data mining (4 Marks)
c) Differentiate between Classification and Prediction (4 Marks)
d) How would you sample for frequent patterns in data mining (4 Marks)
QUESTION THREE
a) Describe the Cross-Industry Standard Process for Data Mining (CRISP-DM) (12 Marks)
b) Explain why data mining text is difficulty (8 Marks)
QUESTION FOUR
a) Elaborate on the techniques used in Estimation of Trend Curve (6 Marks)
b) Outline the benefits of the FP-tree Structure (4 Marks)
c) Describe the basics of Bayesian Theorem (10 Marks)
QUESTION FIVE
a) What are the general applications of clustering? (6 Marks)
b) Differentiate between the following
i) Star schema (2 Marks)
ii) Snowflake schema (2 Marks)
iii)Fact constellations (2 Marks)
c) Expound on any four clustering algorithms (8 Marks)

Data Mining And Datawarehousing Question Paper

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