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COMP1942
Association Rule Mining (Data
Mining Tool)
Prepared by Raymond Wong (Notes) and Kai Ho Chan (Screenshot)
Presented by Raymond Wong
raywong@cse
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Outline
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Association Rule Mining
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Problem Definition
Algorithm
How to use the data mining tool
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How to use the data mining
tool
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Where can I find the data mining tool?
How can I use the data mining tool for
association rule mining?
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Where can I find the data mining
tool?
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There are two ways of opening XLMiner in
MS Excel.
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Option 1: From the “Add-ins” Tag
Option 2: From the “XLMiner Platform” Tag
Suggestion: Use the “Add-ins” Tag
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How to add “XLMiner” in MS
Excel installed in a PC of our lab
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There are two ways of opening XLMiner in
MS Excel.
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Option 1: From the “Add-ins” Tag
Option 2: From the “XLMiner Platform” Tag
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How to use the data mining
tool
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Where can I find the data mining tool?
How can I use the data mining tool for
association rule mining?
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Where can I find the data
mining tool?
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Open “rule.xls” in MS Excel
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Data source
Workbook
Worksheet
Data range
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# Rows in data
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# Columns in data
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First row contains header
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Input data format
Data in binary matrix format
Data in item list format
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Parameters
Minimum support (# transactions):
3
Minimum confidence (%):
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Parameters
Minimum support (# transactions):
3
50
Minimum confidence (%):
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Row ID
Antecedent (A)
Conf. %
Support for A
Consequent (C)
Support for A & C
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Support for C
Lift Ratio
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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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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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In the previous setting,
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we set
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Minimum Support = 3
Minimum Confidence = 50%
In the following setting,
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we set
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Minimum Support = 2
Minimum Confidence = 70%
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Parameters
Minimum support (# transactions):
2
70
Minimum confidence (%):
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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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