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Introduction To Data Mining And Knowledge Discovery Question Paper

Introduction To Data Mining And Knowledge Discovery

Course:Bachelor Of Science In Information And Technology

Institution: Kenyatta University question papers

Exam Year:2009

KENYATTA UNIVERSITY
UNIVERSITY EXAMINATIONS 2008/2009
INSTITUTE OF OPEN LEARNING (IOL)
EXAMINATION FOR THE DEGREE OF BACHELOR OF SCIENCE
(INFORMATION TECHNOLOGY)

SIT 409:
INTRODUCTION TO DATA MINING AND KNOWLEDGE
DISCOVERY

DATE: Monday, 10th August, 2009

TIME: 11.00 a.m. – 1.00 p.m.
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INSTRUCTIONS:

Question One
a) Define
i)Data mining
ii)Information
iii)Knowledge
iv)Artificial neural networks(10 marks)
b)List the different views of data mining (4marks)
c)Explain four Multi-Dimensional Views of Data mining (8 marks)
d)Describe any four Data Mining Complications(8marks)

Question Two
a)Briefly discuss data Warehouses(5marks)
b)Discuss why data mining is important to organization(5 marks)
c)Discuss the functions of data mining software(5 marks)
d)Sketch and label an architecture model of Data Mining System
(5 marks)

Question Three
a)List four Data reduction strategies(3marks)
b) Discussfour ways of Integration of Data Mining and Data Warehousing(12 marks)
c) Explain theconcept of Decision Support Systems(4 marks)
d) Distinguishbetween Classification and Prediction(4 marks)

Question Four
a) Discussthree possible techniques used in data cleaning(9 marks)
b)Distinguish between Supervised and Unsupervised learning(2 marks)
c)Briefly discuss two issues regarding classification and prediction (9 marks)

Question Five
a) Define

i)Data
ii)Error Rate
iii)Coverage(4 marks)

b)Explain two importance of Data p reprocessing(6marks)
c) Describefive properties of a well-accepted multidimensional view (10 marks)

Introduction To Data Mining And Knowledge Discovery Question Paper

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