CS614 Data Warehousing Assignment No 03 Fall 2020 Solution & Discussion
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CS614 assignment 3 solution 2021
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Question 1(Marks 15)
Classification is a very important method or technique of data mining where the classification model is constructed through the help association rules extracted from the training dataset.
Check, cs601 assignment 3 solution 2021
Judge the below training dataset containing the customers’ data of a bank. The column Last_Transaction consists the number of days when active 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 available training dataset which is given below, the following association rules represent for the classification model.
IF Gender is equal (=) Female THEN Loyalty = YES
ELSE
IF Age is greater than (>) 55 THEN Loyalty = YES
ELSE
IF Age is less than (<) 30 THEN Loyalty = NO
ELSE
IF LastTransaction is less than < 60 THEN Loyalty = YES
ELSE Loyalty = NO
Here you will require 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: You Only require to write YES and NO in the Loyalty column
Question 2 (Marks 05)
Data Mining consists of two types of learning’s which are known as supervised learning and un-supervised learning. In the table given some data mining techniques or algorithms are given. You are required to only search and study about them and you require to 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 |
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