1. Association Rule Mining (Data Mining Tool)
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Association Rule Mining (Data Mining Tool)
Prepared by Raymond Wong (Notes) and Kai Ho Chan (Screenshot)
Presented by Raymond Wong
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2. Outline Association Rule Mining Algorithm
Problem Definition
Algorithm
How to use the data mining tool
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3. How to use the data mining tool
Where can I find the data mining tool?
How can I use the data mining tool for association rule mining?
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4. Where can I find the data mining tool?
There are two ways of opening XLMiner in MS Excel.
Option 1: From the “Add-ins” Tag
Option 2: From the “XLMiner Platform” Tag
Suggestion: Use the “Add-ins” Tag
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10. How to add “XLMiner” in MS Excel installed in a PC of our lab
There are two ways of opening XLMiner in MS Excel.
Option 1: From the “Add-ins” Tag
Option 2: From the “XLMiner Platform” Tag
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15. How to use the data mining tool
Where can I find the data mining tool?
How can I use the data mining tool for association rule mining?
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16. Where can I find the data mining tool?
Open “rule.xls” in MS Excel
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21. Data source
Workbook
Worksheet
Data range
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24. # Rows in data 5 5
# Columns in data
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25. First row contains header
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26. Data in binary matrix format
Input data format
Data in binary matrix format
Data in item list format
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27. Minimum support (# transactions):
Parameters
Minimum support (# transactions): 3
Minimum confidence (%):
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28. Minimum support (# transactions):
Parameters
Minimum support (# transactions): 3 50
Minimum confidence (%):
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32. Antecedent (A) Row ID Support for A Consequent (C) Conf. %
Support for C
Support for A & C
Lift Ratio
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33. Rule 1: If item D is purchased, then this implies item A is also purchased. This rule has confidence of 100%
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34. Rule 5: If item B is purchased, then this implies item C is also purchased. This rule has confidence of 75%
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35. In the previous setting,
we set
Minimum Support = 3
Minimum Confidence = 50%
In the following setting,
Minimum Support = 2
Minimum Confidence = 70%
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37. Minimum support (# transactions):
Parameters
Minimum support (# transactions): 2 70
Minimum confidence (%):
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39. Rule 1: If items D, E are purchased, then this implies items A, B are also purchased. This rule has confidence of 100%
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