Data Mining and Data Warehousing
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Assignment 2
Deadline: Thursday 12th Oct 2019 @23:59 Hrs.
[Total Mark for this Assignment is 6]
Data Mining and Data Warehousing
IT 446
College of Computing and Informatics
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Question One
Marks: 1.5
Learning Outcome(s):
LO1: Explain different data mining tasks, problems and the algorithms most appropriate for addressing them.
List two differences between Multi-Way Array Aggregation method and BUC method.
Question Two
Marks 1.5
Learning Outcome(s):
Learning Outcome(s):
LO2: Apply and evaluate data mining algorithms with respect to problems they are specifically designed for.
Figure 1 represents an example of Data cube of total sales.
Figure 1. Data Cube Total sales
Using the Figure 1, complete the following table:
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Cell |
Description (what it represents) |
Corresponding Cuboid |
Number of dimensions |
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C1 |
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C2 |
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C3 |
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C4 |
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Question Three
Marks 1.5
Learning Outcome(s):
LO1: Explain different data mining tasks, problems and the algorithms most appropriate for addressing them.
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State the data cube computation methods. Give example for each method.
Question Four
Marks 1.5
Learning Outcome(s):
LO1: Explain different data mining tasks, problems and the algorithms most appropriate for addressing them.
Define Frequent Pattern Analysis. Describe its application and methods.
College of Computing and Informatics
Assignment
2
Deadline:
Thursday
12
th
Oc
t
2019 @23:59 Hrs.
[Total Mark for this Assignment is
6
]
Student Details:
Name:
###
CRN
:
###
ID:
###
Data Mining and Data Warehousing
IT 446
College of Computing and Informatics
Assignment 2
Deadline: Thursday 12th Oct 2019 @23:59 Hrs.
[Total Mark for this Assignment is 6]
Student Details:
Name: ###
CRN: ###
ID: ###
Data Mining and Data Warehousing
IT 446