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JAYPEE UNIVERSITY OF INFORMATION TECHNOLOGY, WAKNAGHAT
(T-1 Examination Feb-2020)
M.Tech. 2nd Semester
COURSE CODE: 11M1WCI431 MAX. MARKS: 15
COURSE NAME: Advanced Web Mining
COURSE CREDITS: 4 MAX. TIME: 1 Hrs
Note: All questions are compulsory. Carrying of mobile phone during examinations will be
treated as case of unfair means.
Q.1 What the use of web mining for different applications? Explain the different type
of web taxonomies in context to Web Content Mining, Web Structure Mining, and
Web Usage Mining with the help of suitable example.
(4)
Q.2 What are the steps include in carry out in Web Usage Mining. Name the different
tools that are used for web mining. List some popular tool used for web mining.
(3)
Q.3 Transactional data for an All Electronics branch. TID List of item IDs is given
below. There are nine transactions in this database, that is, |D| = 9. Use the Apriori
algorithm for finding frequent itemsets in D. Suppose min support is 2.
TIDs Items
T100 I1, I2, I5
T200 I2, I4
T300 I2, I3
T400 I1, I2, I4
T500 I1, I3
T600 I2, I3
T700 I1, I3
T800 I1, I2, I3, I5
T900 I1, I2, I3
(5)
Q.4 For the above data set as given in question no. 3, Generating Association Rules
from Frequent Itemsets and calculate the confidence using the support formula.
(3)

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Advanced web mining paper

  • 1. JAYPEE UNIVERSITY OF INFORMATION TECHNOLOGY, WAKNAGHAT (T-1 Examination Feb-2020) M.Tech. 2nd Semester COURSE CODE: 11M1WCI431 MAX. MARKS: 15 COURSE NAME: Advanced Web Mining COURSE CREDITS: 4 MAX. TIME: 1 Hrs Note: All questions are compulsory. Carrying of mobile phone during examinations will be treated as case of unfair means. Q.1 What the use of web mining for different applications? Explain the different type of web taxonomies in context to Web Content Mining, Web Structure Mining, and Web Usage Mining with the help of suitable example. (4) Q.2 What are the steps include in carry out in Web Usage Mining. Name the different tools that are used for web mining. List some popular tool used for web mining. (3) Q.3 Transactional data for an All Electronics branch. TID List of item IDs is given below. There are nine transactions in this database, that is, |D| = 9. Use the Apriori algorithm for finding frequent itemsets in D. Suppose min support is 2. TIDs Items T100 I1, I2, I5 T200 I2, I4 T300 I2, I3 T400 I1, I2, I4 T500 I1, I3 T600 I2, I3 T700 I1, I3 T800 I1, I2, I3, I5 T900 I1, I2, I3 (5) Q.4 For the above data set as given in question no. 3, Generating Association Rules from Frequent Itemsets and calculate the confidence using the support formula. (3)