Semester : SEMESTER 8
Subject : Data Mining and Ware Housing
Year : 2020
Term : SEPTEMBER
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : CS 402
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04000CS402052001
The following table shows the midterm and final exam grades obtained for
students in a database course.
x(Mid-term Exam) Y(Final Exam)
72 84
50] 63
81 77
74 78
94 90
| = 8 75
59 | 49 |
83 79
| 5. | 77
33 52
58 74
81 | 90
Use the method of least squares to find an equation for the prediction of a
student’s final exam grade based on the student’s midterm grade in the course.
Predict the final exam grade of a student who received 86 marks on the midterm
exam with the above model.
PART 0
Answer any two full questions, each carries 12 marks.
Given two objects represented by the tuples (22, 1, 42, 10) and (20, 0, 36, 8):
(1) Compute the Euclidean distance between the two objects.
(ii) Compute the Manhattan distance between the two objects.
(iii) Compute the Minkowski distance between the two objects, using p = 3.
Explain frequent subgraph mining using Apriori method.
A database has five transactions.Let min sup=60% and min confidence=50%.
Find all frequent patterns using FP-growth algorithm.
Tid Items_bought
11000 = ` {M,O,N,K,E,Y}
12000 {D,O,N,K,E,Y}
T3000 {M,A,K,E}
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(6)
(3)
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(6)
(12)