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[Solved] CS614 Assignment 3 Fall 2020


admin
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Assignment No. 3(Graded)

Semester Fall 2020
Data Warehousing– CS614

Total Marks: 20

Due Date: 01-02-2021

Objective:

This assignment has been designed to develop your ability to Data Mining and its techniques.

Instructions:

Please read the following instructions carefully before solving & submitting the assignment:

1.      The assignment will not be accepted after due date.

2.      Zero marks will be awarded to the assignment that does not open or the file is corrupt.

3.      The assignment file must be an MS Word (.doc) file format; Assignment will not be accepted in any other format.

4.      Zero marks will be awarded to the assignment if copied (from other students, internet or any source).

5.      Zero marks will be awardedto the assignment ifthe Student ID is not mentioned in the assignment file.

For any query about the assignment, contact only at [email protected]

 

Please do not post queries related to assignment on MDB.

 

Note: The assignment covers till lecture 31.

 

Question 1 (Marks 15)

Classification is an important technique of data mining where the classification model is constructed through association rules extracted from the training dataset.

Consider the following training dataset containing the customers’ data of a bank. The column Last_Transaction contains the number of days when customers have made their last transactions.                                         

 

Gender

Age

Last_Transaction

Loyalty

Male

64

98

YES

Male

35

125

NO

Female

25

50

YES

Male

39

50

YES

Male

45

90

NO

Female

42

165

YES

Male

21

25

NO

Male

48

28

YES

Female

55

110

YES

Male

58

120

YES

 

On the basis of the given training dataset, the following association rules constitute for the classification model.

IF Gender  =  Female THEN  Loyalty = YES

ELSE

       IF Age  >  55 THEN Loyalty = YES

       ELSE

                 IF  Age  <  30 THEN Loyalty = NO

                 ELSE

                          IF LastTransaction < 60 THEN Loyalty = YES

                          ELSE Loyalty = NO

 

You are required to identify the class for the following customers.

 

Gender

Age

Last_Transaction

Loyalty

Male

20

15

No

Male

49

41

No

Male

68

75

Yes

Female

29

128

Yes

Male

53

85

Yes

 

Note: Only write YES and NO in the Loyalty column

 

 

Question 2 (Marks 05)

Data Mining contains two types of learning which are called supervised learning and un-supervised learning. In the following table some data mining techniques/algorithms are given. You are required to search and study about them and identify their proper type.

 

Sr No.

Techniques/Algorithms

Type (Supervised/Un-supervised)

1

Classification

Supervised

2

Support Vector Machine (SVM)

Supervised

3

Regression

Supervised

4

K-means

Supervised

5

K- nearest neighbor (K-NN)

Supervised

 

 

 

 

Download attachment for CS614 assignment 3 Solution file.

 

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Quote
baig
 baig
(@baig)
Active Member
Joined: 1 year ago
Posts: 18
 

Respected Sir,

          It is to be noticed that solution should be reconsidered. I had find answers most close to solution. Please discuss it again if possible!

Thanks!

 

Answer for Question #1:

Gender

Age

Last_Transaction

Loyalty

Male

20

15

NO

Male

49

41

YES

Male

68

75

YES

Female

29

128

YES

Male

53

85

NO

 

Answer for Question #2:

Sr No.

Techniques/Algorithms

Type (Supervised/Un-supervised)

1.

Classification

Supervised

2.

Support Vector Machine (SVM)

Supervised

3.

Regression

Supervised

4.

K-means

Un-supervised

5.

K- nearest neighbor (K-NN)

Supervised

 


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