Semester : SEMESTER 1
Subject : Data Warehousing & Mining
Year : 2015
Term : DECEMBER
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : 01 CS 6151
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Debbie 1.8m Medium
Todd 1.95m Medium
⋅ Medium
Kim 1.9m
Amy Medium
Wynette 1.75m Medium
use a Naive Bayes Classifier to classify Adam who is Male and 1.95m tall as short, medium
or tall.
(7.5)
b. When objects are described using binary valued attributes, what are the
similarity measures used.
a. How are support and confidence measures used in generating association rules?
(4)
b. How do context focused crawlers improve the performance of web search? (5)
a. Illustrate the use ofnvo spatial data structures in storing spatial information (4)
ರ್
Part C
. Apriori algorithm is used in finding large item sets. How does sampling improve its
performance? (5)
9. a) When the database used in frequent itemset mining is very large, how can large
itemsets be identified? Give an algorithm for the same. (6)
b) How are spatial query processing handled by kd-trees ?