A H1060 Pages: 3
a) Draw a star scheme for the data warehouse. (6)
b) Starting with the basic cuboid [date,spectator,location,game] ,what specific (3)
OLAP operation should be performed in order to list the total charge paid by
student spectators at GM_PLACE in 2010.
13 Summarize the various pre-processing activities involved in data mining (9)
PART C
Answer any two full questions, each carries 9 marks.
14 Based on the following data determine the gender of a person having height 6 ft., (9)
weight 130 Ibs. and foot size 8 in. (use Naive Bayes algorithm).
person | height (feet) | weight (Ibs) | foot size (inches)
male 6.00 180 10
male 6.00 180 10
male 5.50 170 8
male 6.00 170 10
female 5.00 130 8
female 5.50 150 6
female 5.00 130 6
female. 6.00 150 8
15 (9)
The “Restaurant A” 50115 burger with optional flavours: Pepper, Ginger and
Chilly. Every day this week you have tried a burger (A to E) and kept a record
of which you liked. Using Hamming distance, show how the 3NN classifier with
majority voting would classify
{pepper = false, ginger =true, chilly = true}
Pepper Ginger Chilly liked
A true true true false
B true false flase true
0 false true true false
D false true false true
E true false false true
16 a) How 04.5 differs from ID3 algorithm? (3)
b) How does backpropagation algorithm works? (6)
PART 0

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