Data Mining and Data Warehousing
moe1990
IT446Assignment-3.docx|
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Question Four |
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Assignment 3
Deadline: Day 15/11/2019 @ 23:59
[Total Mark for this Assignment is 6]
Data Mining and Data Warehousing
IT446
College of Computing and Informatics
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Question One
1 Marks
Learning Outcome(s):
LO 3 carry out recent data mining techniques and applications.
What are the strength and weaknesses of Neural Network as a Classifier? Write any two strengths and any two weaknesses.
Question Two
2 Marks
Learning Outcome(s):
LO 4 Apply a wide range of clustering, estimation, prediction, and classification algorithms.
Question Three
1 Marks
Calculate the support and the confidence of the rules by using the following database transaction.
Learning Outcome(s):
LO 4 Apply a wide range of clustering, estimation, prediction, and classification algorithms.
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TID |
Items |
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1 |
Rice, Meat |
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2 |
Rice, Juice, Chips, Cookies |
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3 |
Meat, Cookies, Juice, Coffee |
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4 |
Rice, Meat, Cookies, Juice |
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5 |
Rice, Meat, Coffee, Cookies |
R1: Rice Cookies, Meat
R2: Meat, Cookies Juice
Answer:
Support (R1) = Confidence (R1) =
Support (R2) = Confidence (R2) =
Question Four
2 Marks
Using the given below decision tree, do the following:
Learning Outcome(s):
LO 4 Apply a wide range of clustering, estimation, prediction, and classification algorithms.
i. Convert this tree to if then rules
ii. Predict the class of each record
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Parents Visiting |
Weather |
Money |
Prediction |
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1 |
Yes |
Sunny |
Rich |
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2 |
No |
Rainy |
Rich |
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3 |
Yes |
Rainy |
Poor |
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4 |
No |
Windy |
Rich |
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